Job description

Arbisoft is seeking an experienced AI Platform Engineer to design, build, and deploy production-grade Generative AI systems. This role is ideal for engineers with deep expertise in AI platforms, knowledge graphs, and scalable cloud infrastructure who are passionate about building reliable AI systems at scale.

Requirements

• 8+ years of professional experience in software engineering, AI platform ...engineering, or related fields. (Internships, prototypes, and personal projects are not counted.)

• Strong programming skills in Python or Java.

• Proven experience building production-level AI solutions.

Core Expertise (At least one area)

• Generative AI : AI Agents, Retrieval-Augmented Generation (RAG), Production deployment of GenAI applications

• Knowledge Graphs: Graph Databases, Metadata Ontology, Graph RAG architectures

Platform & DevOps Experience

• Experience working in a DevOps environment, managing the full development-to-deployment lifecycle.

• CI/CD pipelines using tools like GitHub Actions or Jenkins.

• Infrastructure as Code experience using Terraform.

Cloud & Infrastructure

Experience deploying solutions in cloud environments such as:

• Cloud Native (Serverless): AWS S3, AWS Lambda, AWS Batch, Amazon ECS

• Cloud Agnostic Platforms: Kubernetes-based infrastructure and services

What We’re Looking For

• Engineers with hands-on experience deploying AI platforms in production.

• Strong ownership mindset and ability to build scalable, reliable AI infrastructure.

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Qualifications

• The ideal candidate has at least 3 years in a product role and a passion for innovation in AI, ready for a fast-paced environment

Benefits

• This position offers a competitive salary with equity and comprehensive benefits in a rapidly-growing company

Responsibilities

• You will engage with customers to gather insights and lead design efforts for user-friendly interfaces

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Job description

A leading AI startup in San Francisco is seeking an experienced product manager to develop a clear product vision and roadmap. You will engage with customers to gather insights and lead design efforts for user-friendly interfaces. The ideal candidate has at least 3 years in a product role and a passion for innovation in AI, ready for a fast-paced environment. This position offers a competitive sal...ary with equity and comprehensive benefits in a rapidly-growing company.

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Qualifications

• Strong strategic + operational mindset: You can zoom out to see the big picture and zoom in to execute details flawlessly

• Early-stage experience (or equivalent ownership): Comfortable operating in ambiguity and building from 0 → 1

• Experience in Revenue Operations and/or Sales Operations:

• Designed or managed sales funnels, CRM systems, and reporting

• Analytical and data-driven: Fluent in using data to inform decisions; comfortable with spreadsheets, dashboards, and basic modeling

• Cross-functional leadership: Proven ability to work across teams and influence without authority

• Bias toward action: You move quickly, take ownership, and aren’t afraid to roll up your sleeves

• 4 more items(s)

Benefits

• California State Residents: The expected salary range for this position is between $160k – $210k for California State residents and is experience dependent

Responsibilities

• You’ll sit at the intersection of product, go-to-market, and operations, helping define how we grow

• This is a highly cross-functional role where you’ll drive key initiatives, configure systems from scratch, and act as a force multiplier for the entire team

• Lead strategic projects: Take ownership of high-impact, ambiguous initiatives—from new market entry to internal tooling to partnerships

• Build and scale GTM ops: Design and implement processes, systems, and dashboards that enable the company to operate efficiently as we grow

• Partner with GTM teams: Work closely with sales and marketing to optimize funnel performance, pricing, and customer acquisition strategies

• Own key business metrics: Define, track, and improve core metrics across revenue, growth, and customer success

• Support fundraising and investor reporting: Help prepare materials, metrics, and narratives for investor updates and fundraising processes

• Built forecasting models, pipeline tracking, and GTM dashboards

• Partnered with sales teams to improve conversion rates, sales processes, and performance

• 6 more items(s)

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About Us

At AUI, we are pioneering the next generation of conversational AI agents. Conversational AI was built to talk to people. Deploying it to act on behalf of a business is a fundamentally different problem — one that requires a model that can reason over logic, not just language. Apollo-1, AUI’s foundation model for neuro-symbolic agents, solves that. It enables agents that converse fluentl...y yet enforce business logic formally. Generative AI gave us agents that work on behalf of users. Neuro-Symbolic AI gives us agents that work on behalf of entities. Apollo isn't just another language model, it’s a fundamentally new kind of system: a neuro-symbolic foundation model built for controllable enterprise agents. While most AI tools are powerful but unpredictable, Apollo is designed to be both—combining the fluency of modern LLMs with the precision of rule-based controllability.

This achieves what customers have been trying—and failing—to build for years: AI agents that can be trusted in production for complex and ambiguous interactions. Our unique approach enables unprecedented granular control over agent behavior in each interaction, including the ability to implement hard rules and continuously fine-tune performance based on real-world feedback.

Apollo is already proven in production with Fortune 500 customers and continues to demonstrate state-of-the-art results in demanding domains like retail and travel. We believe this technology is the essential unlock for truly reliable and scalable conversational agents across consumer and enterprise applications, moving the entire field forward. We invented this approach, and we're looking for passionate individuals to help us bring its power to the world.

The Role

We’re looking for a StratOps Lead to partner closely with the leadership team to build and scale the operational backbone of our GTM org. This is a high-impact role for someone who wants to help shape the foundation of a company at the earliest stage—and grow alongside it. As an early stage AI startup, we’re moving fast—this role is about bringing structure to ambiguity, turning strategy into execution, and ensuring we’re focused on the highest-impact work.

You’ll sit at the intersection of product, go-to-market, and operations, helping define how we grow. This is a highly cross-functional role where you’ll drive key initiatives, configure systems from scratch, and act as a force multiplier for the entire team.

What you’ll do

• Lead strategic projects: Take ownership of high-impact, ambiguous initiatives—from new market entry to internal tooling to partnerships

• Build and scale GTM ops: Design and implement processes, systems, and dashboards that enable the company to operate efficiently as we grow

• Partner with GTM teams: Work closely with sales and marketing to optimize funnel performance, pricing, and customer acquisition strategies

• Own key business metrics: Define, track, and improve core metrics across revenue, growth, and customer success

• Support fundraising and investor reporting: Help prepare materials, metrics, and narratives for investor updates and fundraising processes

What We’re Looking For:

• 8+ years of experience in strategy, operations, BizOps, consulting, or a high-growth technology company (experience at an early-stage company preferred)

• Strong strategic + operational mindset: You can zoom out to see the big picture and zoom in to execute details flawlessly

• Early-stage experience (or equivalent ownership): Comfortable operating in ambiguity and building from 0 → 1

• Experience in Revenue Operations and/or Sales Operations:

• Designed or managed sales funnels, CRM systems, and reporting

• Built forecasting models, pipeline tracking, and GTM dashboards

• Partnered with sales teams to improve conversion rates, sales processes, and performance

• Analytical and data-driven: Fluent in using data to inform decisions; comfortable with spreadsheets, dashboards, and basic modeling

• Cross-functional leadership: Proven ability to work across teams and influence without authority

• Bias toward action: You move quickly, take ownership, and aren’t afraid to roll up your sleeves

• California State Residents: The expected salary range for this position is between $160k – $210k for California State residents and is experience dependent.

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Job description

We are seeking aSenior AI Engineerwith expertise in AI agent development to design, build, and deploy intelligent agents that operate autonomously in digital environments. This role involves creating AI agents capable of advanced reasoning, planning, decision-making, and interactive tasks using large language models (LLMs), multi-agent systems, and simulation frameworks. You will work at the front...ier of AI development, building agents that learn from data, communicate with users or other systems, and adapt to complex, dynamic environments. In addition, you will championMLOps and LLMOpsbest practices to ensure our AI applications and models are robustly trained, deployed, and maintained at scale.

In your role, you would be required to

●Design and implement AI agentsusing LLMs, planning algorithms, and decision-making frameworks.

●Develop agent architecturesthat support autonomy, interactivity, and effective task completion.

●Integrate agents into applications, APIs, or workflows(e.g., chatbots, copilots, automation tools) to deliver user-facing functionality.

●Implement MLOps and LLMOps (Large Language Model Ops) best practices– including pipeline design, CI/CD for model deployment, and performance monitoring – to ensure scalable and reliable AI agent operations.

●Lead strategic initiatives related to the model lifecycle, such as automated retraining, model versioning, and deployment workflows, to continuously improve model performance and reliability.

●Collaborate with researchers, engineers, and product teamsto iterate on agent capabilities and ensure alignment with product goals.

●Optimize agent behaviourthrough feedback loops, reinforcement learning techniques, or user interaction data to improve performance over time.

●Monitor agent performance, conduct evaluations, and implement safety/guardrail mechanismsto uphold reliability, ethical standards, and user trust.

●Contribute to the architecture of large-scale systems, providing technical leadership and influencing product direction with AI-driven solutions.

●Maintain thorough documentationof agent logic, design decisions, pipelines, and dependencies for future reference and knowledge sharing.

Requirements

● Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.

● Python Development:5+ years of hands-on software development experience, with strong software engineering skills in Python (including PySpark) and full lifecycle development (design, coding, testing, deployment).

● Machine Learning Expertise:5+ years of experience developing and deploying machine learning models and workflows, with a solid understanding of ML principles, model training, fine-tuning, and evaluation.

● Generative AI Leadership:Hands-on experience leading ML Generative AI initiatives from concept to deployment.

● AI/ML Frameworks:Strong programming skills in Python and experience with AI/ML frameworks and libraries such as LangChain, OpenAI API, Hugging Face, PyTorch, and scikit-learn.

● MLOps & LLMOps:Solid understanding and experience implementing MLOps and LLMOps practices, including automated ML pipelines, CI/CD for models, model monitoring, and lifecycle management.

● Containerization & Orchestration:Proven experience designing and deploying AI solutions using Docker and Kubernetes, with knowledge of scalable architectures.

● Agent-Based Systems:Understanding of agent-based modeling, reinforcement learning, multi-agent systems, and planning algorithms.

● LLM Applications:Experience building applications with large language models (LLMs) or generative AI, integrating them into real-world products and services.

● System Integration:Familiarity with API development, backend services, and deployment pipelines for ML models.

● Work Style:Ability to work independently in experimental, fast-paced environments, rapidly prototyping and iterating on ideas.

Preferred Qualifications

● Experience with frameworks for autonomous agents (e.g., AutoGPT, LangChain, Langgraph Agents) and multi-agent system orchestration.

● Background in human-AI interaction, conversational UX, or simulation environments that involve AI agents.

● Knowledge of vector databases, prompt engineering, or retrieval-augmented generation (RAG) to enhance LLM-driven agent performance.

● Hands-on experience with MLOps and LLMOps tools and platforms (e.g., MLflow, TensorFlow Extended, or Kubeflow) and managing large-scale model deployments.

● Contributions to open-source AI projects or a portfolio showcasing agent-based systems and AI/ML projects.

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Job description

About the Role

We're building an AI-powered platform — and we need a full-stack developer who can own features end-to-end. You'll work across a NestJS backend (pipelines, queues, LLM integrations) and a React frontend (data-heavy dashboards, multi-step workflows, role-based UI).

Real impact — helping organizations assess and manage their portfolios’ reporting.

What You'll Work On

• Design, Deve...lop & Maintain Scalable Full-Stack Software

• Build robust features end-to-end using the PERN stack (PostgreSQL, Express.js, React.js, NestJS). Ensure clean architecture, reusable components, and maintainable code while delivering high-performance user experiences.

• Backend: LLM integrations with extensive document processing, multi-stage pipelines, queue-based async job processing (BullMQ) with retry logic, REST APIs with Swagger docs and role-based access control.

• Frontend: data-heavy dashboards, multi-step assessment workflows, multi-tenant architecture, permissions, multilingual UI.

• Integrate & Optimize AI/LLM Services

• Incorporate LLM APIs (Anthropic Claude, OpenAI) into applications with structured tool use for scientific and document analysis. Design efficient request/response handling, optimize prompts, manage rate limits, and improve response quality and latency.

• Document processing with LLMs — extract, parse, and analyze PDFs, Excel/CSV files, and images at scale as part of ESG workflows.

• Collaborate with Cross-Functional Teams

• Work closely with product managers, designers, and other technical and non-technical team members to translate requirements into technical solutions.

• Maintain Security & Best Practices

• Implement secure coding practices, authentication/authorization, and data protection strategies. Ensure compliance with industry standards and best practices across the stack.

• Troubleshoot, Debug & Improve Systems

• Identify and resolve issues across the full stack, monitor system performance (Sentry, Winston), and continuously enhance system stability and user experience.

Required Skills

• Ts and Js — strong proficiency across both backend and frontend

• NestJS — production API development, module architecture, guards, pipes

• React — hooks, component composition, custom hooks, React Query for all server state

• PostgreSQL — schema design, migrations, ORM + raw SQL when needed

• Redis & BullMQ — job queues, caching, async orchestration

• REST API design — DTOs, validation, error handling, Swagger documentation

• Git — clean commits, PR workflows

• LLM integration & document processing — hands-on experience calling LLM APIs (Anthropic, OpenAI), prompt engineering, and using LLMs for document parsing/analysis (PDF, Excel/CSV, images)

• Strong English communication — written and verbal; you'll collaborate across teams daily

• Technical documentation — experience writing clear architecture docs, system design decisions, and API documentation

Nice to Have

• Azure Cloud services (Blob Storage, ACR, Communication Services)

• Vector databases (Pinecone or similar)

Ideal Candidate

• 5+ years building production full-stack applications

• Has shipped features on a multi-role SaaS product before

• Comfortable with dense, data-heavy interfaces and complex async pipelines

• Reads existing code before writing new code — follows established patterns

• Cares about simplicity, maintainability, and getting things right

Education

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

What Makes This Interesting

• Work at the intersection of AI, climate science, and finance

• Complex multi-stage pipelines combining LLM analysis with scientific climate data

• Shape the architecture as the platform scales

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Qualifications

• This is a senior individual contributor role for a visual designer with exceptional craft, strong conceptual thinking, and deep fluency in generative image and video models

• Strong working knowledge of leading generative image and video models and their relative strengths

• Outstanding ability to recognize and compose compelling visual design across graphic, photography, motion, and video

• A portfolio demonstrating high-level design craft, conceptual thinking, and strong execution

• Advanced proficiency in Adobe Firefly and Adobe Creative Cloud

• Deep understanding of social-first creative and platform nuances

• Ability to manage multiple projects and feedback cycles in a fast-paced environment

• Strong creative judgment and confidence in presenting and defending your work

• 5 more items(s)

Benefits

• Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets

• The U.S. pay range for this position is $120,700 -- $255,450 annually

• In California, the pay range for this position is $176,400 - $255,450

• At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans

• Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP)

• In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award

• 3 more items(s)

Responsibilities

• You will translate briefs into fully-realized, social-first creative

• This role requires both aesthetic vision and technical mastery

• You understand the strengths and limitations of different AI models, know when and why to use each, and can art direct outputs to achieve intentional, high-quality results

• Most importantly, you are able to take a brief and independently drive it through concept, iteration, refinement, and final delivery

• Independently develop and produce visually sophisticated creative for AI-related social campaigns (prompt, edit, and ship)

• Select the appropriate AI tools and models based on aesthetic goals, realism, motion complexity, speed, and production constraints

• Art direct and refine outputs to meet Adobe’s brand standards and creative bar

• Rapidly prototype and iterate on ideas for launches, tentpole moments, and real-time social opportunities

• Deliver production-ready social assets across static, motion, and hybrid formats to partner with post-production and design teams

• Continuously evaluate emerging tools and evolve workflows to raise the team’s AI craft standards

• 7 more items(s)

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Job description

About the Role

We’re seeking a highly innovative Senior AI Artist to join our in-house social creative studio.

This is a senior individual contributor role for a visual designer with exceptional craft, strong conceptual thinking, and deep fluency in generative image and video models. You will translate briefs into fully-realized, social-first creative.

This role requires both aesthetic vision a...nd technical mastery. You understand the strengths and limitations of different AI models, know when and why to use each, and can art direct outputs to achieve intentional, high-quality results. Most importantly, you are able to take a brief and independently drive it through concept, iteration, refinement, and final delivery.

You don’t just generate assets — you own the creative outcome.

What You’ll Do

• Independently develop and produce visually sophisticated creative for AI-related social campaigns (prompt, edit, and ship)

• Select the appropriate AI tools and models based on aesthetic goals, realism, motion complexity, speed, and production constraints

• Art direct and refine outputs to meet Adobe’s brand standards and creative bar

• Rapidly prototype and iterate on ideas for launches, tentpole moments, and real-time social opportunities

• Deliver production-ready social assets across static, motion, and hybrid formats to partner with post-production and design teams

• Continuously evaluate emerging tools and evolve workflows to raise the team’s AI craft standards

What You Bring

• Strong working knowledge of leading generative image and video models and their relative strengths

• Outstanding ability to recognize and compose compelling visual design across graphic, photography, motion, and video

• A portfolio demonstrating high-level design craft, conceptual thinking, and strong execution

• Advanced proficiency in Adobe Firefly and Adobe Creative Cloud

• Deep understanding of social-first creative and platform nuances

• Ability to manage multiple projects and feedback cycles in a fast-paced environment

• Strong creative judgment and confidence in presenting and defending your work

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $255,450 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $176,400 - $255,450

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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Job description

We’re not looking for just another “AI person.”

We’re looking for someone who can make ideas visible. 👁️✨

🧠 Role: Visuals Generative AI Prompt Engineer

🏢 Company: The Needs (Group of Companies)

💰 Salary: PKR 60,000 – 65,000

📍 Location: DHA Phase 8, Karachi

⏰ Timings: Monday to Friday, 9:00 AM – 6:00 PM

🎯 What you’ll actually do (no buzzwords, promise):

You’ll take rough ideas, half-s...entences, and sometimes chaotic briefs—and turn them into striking visuals using generative AI tools.

This isn’t about typing random prompts.

It’s about thinking visually before the image even exists.

• ✍️ Craft smart, structured prompts that produce high-quality visuals

• 🔄 Experiment constantly—adjust, refine, break, rebuild

• 🎨 Understand style, lighting, mood, composition (yes, details matter)

• 🤝 Work closely with our creative and marketing teams

• 🎯 Turn “this feels off” into “this is exactly it”

🧩 What we’re hoping you bring:

• 🛠️ Hands-on experience with tools like Midjourney, DALL·E, Stable Diffusion (or similar)

• 👁️ A strong eye for design—even if you’re self-taught

• 🔍 Curiosity: you test things just to see what happens

• ⏳ Patience: great outputs don’t come from one prompt

• 💡 Ability to explain why something works, not just that it works

⭐ Bonus points if you:

• 🧠 Understand branding and visual storytelling

• 🗂️ Have a small portfolio of AI-generated work (even personal experiments count)

🚫 What this is not:

• Not repetitive work

• Not “copy-paste prompts from the internet”

• Not a role where creativity is optional

🎁 What you’ll get:

• 🧪 A team that actually values experimentation

• 🚀 Freedom to try, fail, and improve

• 🏗️ Real projects (not just internal tests)

• 🗣️ A space where your ideas won’t be ignored

📩 How to apply:

Send us:

• Your portfolio or sample work

• A short note about how you approach prompts (keep it real, not fancy)

📧 Apply Now: humanresource@dsyndicate.co

#Hiring #AIJobs #KarachiJobs #GenerativeAI #PromptEngineer #CreativeTech #Midjourney #VisualAI

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Qualifications

• 4+ years of frontend engineering experience building production systems

• Deep proficiency in React and state management (use

• Product sense and design intuition, able to translate rough requirements into polished interactions

• High autonomy and low ego, able to ship, gather feedback, and iterate independently

• US work authorisation or O-1 visa eligibility; Bay Area-based or willing to relocate

• Experience with multiplayer apps (Y.js, Automerge, CRDTs)

• Building interfaces for LLM-based tools with streaming responses and progressive disclosure

• Local-first architectures (IndexedDB, service workers, sync strategies)

• Prior experience as a founding frontend engineer establishing standards

• Strong visual/design sense

• Add context when something in your background isn't obvious

• 8 more items(s)

Benefits

• Compensation & Benefits

• $180,000 – $240,000 salary depending on experience

• Meaningful early-stage equity

• Comprehensive health and dental coverage

• 401(k) included

• Considerable PTO, gym budget, and daily lunch provided

• Opportunity for early ownership and high impact in a fast-growing AI-native startup

• 4 more items(s)

Responsibilities

• As a Senior Frontend Developer, you will own the frontend of our client's core product, shipping interfaces that feel instant, intuitive, and polished even when the underlying work is complex

• You will make product and design decisions, prototype quickly, and execute without perfect specs, delivering software that not only works but feels exceptional

• Build and maintain complex frontend interfaces using TypeScript and React

• Make product and design decisions, prototyping and shipping features end-to-end

• Handle state management, performance optimisations, caching strategies, and network requests for a smooth user experience

• Implement or create designs, focusing on polished interactions, loading/empty/error states, and keyboard shortcuts

• Collaborate with backend engineers to deliver full-stack features, including database migrations and API integration

• Contribute to establishing frontend standards, reusable components, and best practices

• Strong full-stack comfort, able to own features from backend to UI

• The system understands context, curates and prioritises tasks, operates in the background, and delivers supervision-ready output

• Help unblock stalled processes or unclear feedback

• 8 more items(s)

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Job description

This is a role that TechTree is recruiting for on behalf of one of our clients.

TechTree is an AI-driven recruitment platform working with high-growth companies.

When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles.

About the Role

As a Senior Frontend Developer, you will own the fron...tend of our client's core product, shipping interfaces that feel instant, intuitive, and polished even when the underlying work is complex. You will make product and design decisions, prototype quickly, and execute without perfect specs, delivering software that not only works but feels exceptional.

What You'll Be Doing

• Build and maintain complex frontend interfaces using TypeScript and React

• Make product and design decisions, prototyping and shipping features end-to-end

• Handle state management, performance optimisations, caching strategies, and network requests for a smooth user experience

• Implement or create designs, focusing on polished interactions, loading/empty/error states, and keyboard shortcuts

• Collaborate with backend engineers to deliver full-stack features, including database migrations and API integration

• Contribute to establishing frontend standards, reusable components, and best practices

What We're Looking For

• 4+ years of frontend engineering experience building production systems

• Deep proficiency in React and state management (useMemo, context, Zustand)

• Strong full-stack comfort, able to own features from backend to UI

• Product sense and design intuition, able to translate rough requirements into polished interactions

• High autonomy and low ego, able to ship, gather feedback, and iterate independently

• US work authorisation or O-1 visa eligibility; Bay Area-based or willing to relocate

Nice to Have

• Experience with multiplayer apps (Y.js, Automerge, CRDTs)

• Building interfaces for LLM-based tools with streaming responses and progressive disclosure

• Local-first architectures (IndexedDB, service workers, sync strategies)

• Prior experience as a founding frontend engineer establishing standards

• Strong visual/design sense

Compensation & Benefits

• $180,000 – $240,000 salary depending on experience

• Meaningful early-stage equity

• Comprehensive health and dental coverage

• 401(k) included

• Considerable PTO, gym budget, and daily lunch provided

• Opportunity for early ownership and high impact in a fast-growing AI-native startup

About the Company

Our client is a 12–14 person AI-native team in San Francisco building a personal AI assistant for knowledge workers, similar to “Cursor for knowledge work” rather than a chatbot. The system understands context, curates and prioritises tasks, operates in the background, and delivers supervision-ready output.

• Raised $30M in seed funding from Spark Capital, Felicis, and Y Combinator

• Team composed of former founders, CTOs, and high-agency builders

• High ownership, fast iteration, and impact-driven culture

What is TechTree?

TechTree combines AI agents with a human support team to give candidates a better, more transparent hiring experience.

Our AI Agent gets to know your background, experience, and what you're optimising for. It continuously matches you to live roles across our network where there's genuine alignment, not just keyword overlap.

Our Human Team is there to support you through the process:

• Answer questions about roles, process, and next steps

• Add context when something in your background isn't obvious

• Help unblock stalled processes or unclear feedback

• Make sure you're not left guessing, ghosted, or wasting time

We only post real jobs. Every role on TechTree is a live, active hire.

If you apply: you'll be considered for this role, you may also be matched to other relevant roles, and if there's no fit, we won't spam you.

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Qualifications

• 7+ years of experience in machine learning, applied AI, or related fields, with at least 2 years in a technical leadership or staff-level role

• Deep hands-on expertise in modern ML frameworks (PyTorch, TensorFlow, or JAX) and the LLM ecosystem - fine-tuning, RAG, prompt engineering, vector databases, and agentic frameworks

• Proven track record of building and deploying AI/ML systems in production environments at scale, not just proof of concepts

• Strong understanding of NLP, deep learning architectures, and retrieval-augmented generation

• Experience designing MLOps pipelines: model versioning, A/B testing, monitoring, and retraining workflows

• Ability to lead and grow technical teams without defaulting to process overhead - you align people through clarity and shared technical judgment

• Strong communication skills; you can explain a model's tradeoffs to an engineer and its business impact to a CEO in the same afternoon

• Nice to have: experience applying AI in education, content generation, or personalization systems; open-source contributions or published research

• 5 more items(s)

Benefits

• Compensation & Benefits

• In accordance with California's Pay Transparency Law (SB 1162, as amended by SB 642), the good-faith estimated base salary range for this role upon hire is $170,000-$190,000 annually, regardless of work location

• Platzi does not inquire about or consider prior salary history in compensation decisions

• Hardware - Laptop, smartphone, and ergonomic workstation fully provided

• Books - Unlimited professional books via Kindle (device included)

• Parental Leave - Extended maternity and paternity leave

• Equity - Option pool participation available to all team members

• PTO - 15 days of paid vacation per year from day one

• Team Syncs - In-person team gatherings throughout the year

• 6 more items(s)

Responsibilities

• We are looking for an AI Lead to define how artificial intelligence shapes our products and the way we work

• This is a technical leadership role for someone who moves fast, builds things that actually work in production, and knows when to reach for a foundation model versus when to build from scratch

• You'll set the direction for AI at Platzi from the architecture of our core systems to how we evaluate, ship, and improve models that reach millions of learners

• Define and own Platzi's AI roadmap from infrastructure and tooling to features that directly impact the learner experience

• Design, develop, and deploy machine learning models, LLM-powered features, and AI-driven pipelines at production scale

• Translate ambiguous product and business needs into concrete technical solutions, working closely with Product, Engineering, and Data teams

• Evaluate, prototype, and integrate emerging AI technologies including foundation models, RAG architectures, and agentic frameworks with a bias toward what ships over what's theoretically elegant

• Establish engineering practices for model evaluation, monitoring, responsible AI use, and MLOps across the organization

• Mentor engineers and grow a team with strong technical judgment and a culture of rapid, deliberate experimentation

• Stay ahead of the AI research landscape and identify what's worth applying to real-world problems today not in 18 months

• Communicate AI strategy and technical decisions clearly to non-technical stakeholders, including leadership and external partners

• 8 more items(s)

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Job description

About Us

Platzi is the largest technology school in the Hispanic world, with over 6 million students and 4,000 companies trusting us to deliver effective online education. Our mission is to make Latin America a technology superpower by training individuals and organizations in AI, Cybersecurity, English, Programming, and Leadership.

As an industry leader, our presence is recognized through a mas...sive and passionate community, extensive press coverage, and a daily stream of student success stories. We operate primarily remote, with key offices in Bogotá and Mexico City.

Requirements

Role Summary

We are looking for an AI Lead to define how artificial intelligence shapes our products and the way we work. This is a technical leadership role for someone who moves fast, builds things that actually work in production, and knows when to reach for a foundation model versus when to build from scratch. You'll set the direction for AI at Platzi from the architecture of our core systems to how we evaluate, ship, and improve models that reach millions of learners. You won't just advise. You'll build.

What You'll Do

What You'll Do

• Define and own Platzi's AI roadmap from infrastructure and tooling to features that directly impact the learner experience

• Design, develop, and deploy machine learning models, LLM-powered features, and AI-driven pipelines at production scale

• Translate ambiguous product and business needs into concrete technical solutions, working closely with Product, Engineering, and Data teams

• Evaluate, prototype, and integrate emerging AI technologies including foundation models, RAG architectures, and agentic frameworks with a bias toward what ships over what's theoretically elegant

• Establish engineering practices for model evaluation, monitoring, responsible AI use, and MLOps across the organization

• Mentor engineers and grow a team with strong technical judgment and a culture of rapid, deliberate experimentation

• Stay ahead of the AI research landscape and identify what's worth applying to real-world problems today not in 18 months

• Communicate AI strategy and technical decisions clearly to non-technical stakeholders, including leadership and external partners

Qualifications

• 7+ years of experience in machine learning, applied AI, or related fields, with at least 2 years in a technical leadership or staff-level role

• Deep hands-on expertise in modern ML frameworks (PyTorch, TensorFlow, or JAX) and the LLM ecosystem - fine-tuning, RAG, prompt engineering, vector databases, and agentic frameworks

• Proven track record of building and deploying AI/ML systems in production environments at scale, not just proof of concepts

• Strong understanding of NLP, deep learning architectures, and retrieval-augmented generation

• Experience designing MLOps pipelines: model versioning, A/B testing, monitoring, and retraining workflows

• Ability to lead and grow technical teams without defaulting to process overhead - you align people through clarity and shared technical judgment

• Strong communication skills; you can explain a model's tradeoffs to an engineer and its business impact to a CEO in the same afternoon

• Nice to have: experience applying AI in education, content generation, or personalization systems; open-source contributions or published research

Benefits

Compensation & Benefits

This is a remote position open to candidates based in California or Georgia (Atlanta area). In accordance with California's Pay Transparency Law (SB 1162, as amended by SB 642), the good-faith estimated base salary range for this role upon hire is $170,000-$190,000 annually, regardless of work location. Platzi does not inquire about or consider prior salary history in compensation decisions.

• Hardware - Laptop, smartphone, and ergonomic workstation fully provided

• Books - Unlimited professional books via Kindle (device included)

• Parental Leave - Extended maternity and paternity leave

• Equity - Option pool participation available to all team members

• PTO - 15 days of paid vacation per year from day one

• Team Syncs - In-person team gatherings throughout the year

• Villa Platzi - Annual full-company retreat somewhere in the world

Equal Opportunity & Inclusion

Platzi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, genetic information, disability, veteran status, or any other characteristic protected under applicable federal, state, or local law, including California's Fair Employment and Housing Act (FEHA).

We are committed to providing reasonable accommodations for qualified individuals with disabilities throughout the application and hiring process. To request an accommodation, please contact humanops@platzi.com.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Employment with Platzi is at-will unless otherwise specified in a written agreement.

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Qualifications

• PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience

• 7+ years of experience in machine learning engineering and/or applied software engineering delivering production systems

• 3+ years of technical leadership experience, including leading delivery for complex cross-functional initiatives

• Demonstrated experience owning enterprise machine learning services, including reliability, incident management, and service-level outcomes

• Strong fundamentals in statistics, optimization, and machine learning theory with applied expertise in natural language processing and/or computer vision

• Hands-on experience implementing distributed, multi-threaded, scalable systems (for example Ray, Horovod, or DeepSpeed)

• Proven ability to design and scale service-oriented architectures and application programming interfaces with high availability and performance requirements

• Experience defining success metrics and writing clear objectives and key results aligned to business expectations

• Strong judgment to align technical decisions with governance, risk, and control requirements for responsible artificial intelligence

• Excellent communication and stakeholder management skills, with ability to influence across senior technical and business audiences

• 7 more items(s)

Responsibilities

• In the Chief Data and Analytics Office, you will lead the delivery of enterprise-grade generative artificial intelligence products and platforms with strong governance and controls

• You will partner across machine learning, cloud engineering, and site reliability engineering to ship resilient solutions with clear return on investment

• This is a hands-on leadership role for someone who enjoys building at scale and operating in real production environments

• As a Lead, Generative AI Engineering in the Chief Data and Analytics Office, you will lead the design, delivery, and continuous improvement of production generative artificial intelligence products and reusable backend application programming interfaces used across the firm

• You will guide technical direction from experimentation through production hardening, ensuring reliability, scalability, performance, and responsible artificial intelligence controls

• You will work closely with cross-functional partners to define measurable outcomes and drive execution against them

• You will mentor engineers and raise the bar on engineering excellence and operational rigor

• Lead the design and delivery of production generative artificial intelligence products and reusable backend application programming interfaces for firmwide adoption

• Architect scalable systems that combine large enterprise datasets with large language and multimodal models

• Set technical direction for model-enabled services, including quality, latency, throughput, and cost targets

• Partner with cloud engineering and site reliability engineering teams to deliver resilient architectures, observability, and operational readiness

• Drive translation of research concepts into production-ready capabilities through evaluation, iteration, and hardening

• Establish engineering standards for reliability, security, and responsible artificial intelligence controls across the product lifecycle

• Own delivery planning and execution, including risks, dependencies, and stakeholder communication

• Define and manage objectives and key results aligned to business outcomes, adoption, and return on investment

• Mentor and develop engineers through coaching, technical reviews, and role modeling best practices

• Troubleshoot critical production issues, lead root-cause analysis, and implement long-term preventative improvements

• 14 more items(s)

More job highlights

Job description

Generative artificial intelligence is reshaping how we serve clients and run the firm. In the Chief Data and Analytics Office, you will lead the delivery of enterprise-grade generative artificial intelligence products and platforms with strong governance and controls. You will partner across machine learning, cloud engineering, and site reliability engineering to ship resilient solutions with clea...r return on investment. This is a hands-on leadership role for someone who enjoys building at scale and operating in real production environments.

As a Lead, Generative AI Engineering in the Chief Data and Analytics Office, you will lead the design, delivery, and continuous improvement of production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will guide technical direction from experimentation through production hardening, ensuring reliability, scalability, performance, and responsible artificial intelligence controls. You will work closely with cross-functional partners to define measurable outcomes and drive execution against them. You will mentor engineers and raise the bar on engineering excellence and operational rigor.

Job responsibilities

• Lead the design and delivery of production generative artificial intelligence products and reusable backend application programming interfaces for firmwide adoption

• Architect scalable systems that combine large enterprise datasets with large language and multimodal models

• Set technical direction for model-enabled services, including quality, latency, throughput, and cost targets

• Partner with cloud engineering and site reliability engineering teams to deliver resilient architectures, observability, and operational readiness

• Drive translation of research concepts into production-ready capabilities through evaluation, iteration, and hardening

• Establish engineering standards for reliability, security, and responsible artificial intelligence controls across the product lifecycle

• Own delivery planning and execution, including risks, dependencies, and stakeholder communication

• Define and manage objectives and key results aligned to business outcomes, adoption, and return on investment

• Mentor and develop engineers through coaching, technical reviews, and role modeling best practices

• Troubleshoot critical production issues, lead root-cause analysis, and implement long-term preventative improvements

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience

• 7+ years of experience in machine learning engineering and/or applied software engineering delivering production systems

• 3+ years of technical leadership experience, including leading delivery for complex cross-functional initiatives

• Demonstrated experience owning enterprise machine learning services, including reliability, incident management, and service-level outcomes

• Strong fundamentals in statistics, optimization, and machine learning theory with applied expertise in natural language processing and/or computer vision

• Hands-on experience implementing distributed, multi-threaded, scalable systems (for example Ray, Horovod, or DeepSpeed)

• Proven ability to design and scale service-oriented architectures and application programming interfaces with high availability and performance requirements

• Experience defining success metrics and writing clear objectives and key results aligned to business expectations

• Strong judgment to align technical decisions with governance, risk, and control requirements for responsible artificial intelligence

• Excellent communication and stakeholder management skills, with ability to influence across senior technical and business audiences

Preferred qualifications, capabilities, and skills

• Experience designing and implementing machine learning pipelines using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)

• Experience building batch and streaming microservices exposed via gRPC and/or GraphQL

• Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models

• Experience with multimodal large language model use cases (text plus image, speech, or video)

• Experience with advanced prompting and reasoning approaches such as chain-of-thought, tree-of-thought, or graph-of-thought

• Experience establishing evaluation frameworks and production monitoring for model quality, safety, and drift

• Experience building reusable platforms that enable other teams to ship model-enabled products faster.

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Job description

A leading technology firm in Saudi Arabia seeks a Technical Project Manager to oversee AI solution deployments in the mining industry. The role demands expertise in project management and software implementation with at least 5 years of experience. You will drive strategic initiatives and work closely with field teams, data scientists, and clients to deliver impactful results. Ideal candidates are... knowledgeable in Agile methodologies and business intelligence tools, particularly Grafana. Join a global team making significant contributions to industrial efficiency and sustainability.

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AI Platform Engineer (Gen AI)

Zero to AI Engineer