Job description

Artificial Intelligence (AI) InternBuild AI-powered internal tools and prototypes using Microsoft Copilot and Claude Code turning high-level ideas into working software in days Benchmark and evaluate LLM agents and AI copilots for use in insurance-specific workflows (claims triage, policy issuance, customer onboarding, document processing) Automate repetitive operations across the SDLC coding, tes...ting, documentation, review using agentic frameworks Collaborate with product managers, engineers, and business teams to identify automation opportunities within the retail insurance and ecosystem platforms Create live demos and proof-of-concepts that showcase AI capabilities to both technical and non-technical stakeholders Work with security and compliance teams to ensure AI tools meet Qatar Central Bank and Group IT governance standards Real, meaningful work inside one of Qatar's leading digital companies Hands-on experience with marketplace operations, dealer relations, and data management Hybrid format a mix of office time and remote work, flexible around your schedule Evening-friendly schedule designed to work alongside university commitments Short-term contract with a clear option to extend based on results and team growth A fast-paced, startup-like environment within a large, established company Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field Comfortable building with AI tools and iterating fast you prefer prompting and prototyping over 10-page specs Curious about insurance, fintech, or ecosystem products and how AI can transform them Able to communicate ideas clearly to both engineers and business stakeholders Bonus: experience with LLM APIs, agent frameworks, or automation tools

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Qualifications

• Python

• TypeScript

• 5+ years of software engineering experience building production systems

• Strong experience in at least one of the following: Rust, Python, or TypeScript

• Daily hands-on use of AI coding tools such as Claude Code, Cursor, Copilot, or similar

• Experience building AI development workflows beyond basic experimentation

• Strong system design and software engineering fundamentals

• Excellent communication and collaboration skills

• High-impact engineering environment focused on AI-native workflows

• 6 more items(s)

Benefits

• $260,000 – $400,000 Base + Strong Equity

• No Sponsorship Available – U.S. Candidates Only

• Competitive compensation + strong equity package

Responsibilities

• This is a hands-on engineering role focused on shipping high-quality production systems across CLI tools, backend services, and infrastructure

• You'll work in an AI-first development environment using tools like Claude Code, Cursor, Copilot, and similar agentic coding systems as part of your daily workflow

• If you already use AI to accelerate engineering, automate workflows, and improve developer productivity at scale, this role is built for you

• Design, build, and ship production features across backend services, CLI tools, and infrastructure

• Own engineering quality including testing, reliability, performance, and code reviews

• Use AI coding tools as a core part of your development workflow

• Build and improve AI-assisted engineering systems, automation workflows, and evaluation frameworks

• Create shared tooling, documentation, and scalable AI engineering practices

• Evaluate emerging AI development tools and recommend adoption strategies

• Make sound engineering decisions balancing speed, stability, and long-term maintainability

• Rust

• AI-Assisted Development Tools

• Developer Platforms

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AI-Native Development Engineer

Hybrid – San Francisco, CA (Preferred) Or New York, NY

$260,000 – $400,000 Base + Strong Equity

No Sponsorship Available – U.S. Candidates Only

Full-Time | 2 Openings

About The Role

We're hiring an AI-Native Development Engineer to help design, build, and scale a modern developer platform used by enterprise teams to manage secure and reproducible software envir...onments.

This is a hands-on engineering role focused on shipping high-quality production systems across CLI tools, backend services, and infrastructure.

You'll work in an AI-first development environment using tools like Claude Code, Cursor, Copilot, and similar agentic coding systems as part of your daily workflow.

If you already use AI to accelerate engineering, automate workflows, and improve developer productivity at scale, this role is built for you.

What You'll Do

• Design, build, and ship production features across backend services, CLI tools, and infrastructure

• Own engineering quality including testing, reliability, performance, and code reviews

• Use AI coding tools as a core part of your development workflow

• Build and improve AI-assisted engineering systems, automation workflows, and evaluation frameworks

• Create shared tooling, documentation, and scalable AI engineering practices

• Evaluate emerging AI development tools and recommend adoption strategies

• Make sound engineering decisions balancing speed, stability, and long-term maintainability

Tech Stack

• Rust

• Python

• TypeScript

• CLI Tools

• Infrastructure Engineering

• AI-Assisted Development Tools

• Developer Platforms

Required Qualifications

• 5+ years of software engineering experience building production systems

• Strong experience in at least one of the following: Rust, Python, or TypeScript

• Daily hands-on use of AI coding tools such as Claude Code, Cursor, Copilot, or similar

• Experience building AI development workflows beyond basic experimentation

• Strong system design and software engineering fundamentals

• Excellent communication and collaboration skills

Preferred / Strong Plus Experience

• DevTools, infrastructure, or CLI development experience

• Nix / NixOS or reproducible build systems

• Tech lead or delivery ownership experience

• Software supply chain or package management experience

• Open-source contributions related to AI tooling or developer platforms

Additional Information

• Hybrid role based in San Francisco or New York

• Competitive compensation + strong equity package

• High-impact engineering environment focused on AI-native workflows

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Job description

Key Responsibilities

Design, build, and optimize GenAI and agentic AI solutions for enterprise use cases.

Develop and maintain scalable microservices and AI pipelines for production environments.

Build and deploy machine learning models for fraud detection, compliance monitoring, and financial crime prevention.

Implement Generative AI solutions, including synthetic data generation and advanced NL...P applications.

Deploy scalable ML systems capable of processing large-scale transactional data with improved operational efficiency.

Optimize model performance through hyperparameter tuning and advanced evaluation techniques.

Conduct A/B testing and performance analysis for ML-driven solutions.

Develop production-grade, PEP8-compliant Python code focused on scalability, readability, and maintainability.

Collaborate with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.

Required Skills & Experience

Experience with advanced LLM techniques such as RAG, Graph RAG, AI Agents, and fine-tuning approaches.

Strong hands-on experience with GenAI technologies and LLM ecosystems.

Familiarity with both open-source and commercial LLMs, including models such as Llama, Mistral, Gemma, GPT, Claude, and Gemini.

Expertise in Prompt Engineering, RAG pipelines, RAFT, and PEFT methods (LoRA, QLoRA, etc.).

Strong proficiency in Python and GenAI/NLP frameworks.

Experience with Generative Models including GANs, VAEs, and Transformers.

Solid understanding of NLP tasks including:

Intent Recognition

Entity Extraction

Language Modeling

Text Classification

Question Answering

Summarization

Topic Modeling

Exposure to cloud technologies, APIs, Docker, and vector databases such as Qdrant and PostgreSQL is a plus.

Our client is a leading global technology and consulting company is seeking a highly skilled GenAI Specialist to join its growing AI & Data team. The organization delivers advanced data, cloud, analytics, and AI solutions across multiple industries including financial services, manufacturing, consumer products, and life sciences.

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Qualifications

emotional pacing

Tools / Experience We’re Interested In

You do NOT need to be an expert in every tool

7 more items(s)

Benefits

emotionally grounded visual storytelling

cinematic restraint

emotionally lived-in visuals

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Responsibilities

AI-assisted music videos

Character-driven short-form storytelling

Mood films / emotional trailers

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Job description

We are emotionally driven music and storytelling universe built through recurring characters, cinematic atmosphere, music-driven narratives, and AI-assisted visual production.

We are currently looking for a highly creative visual designer / creator to help us expand into:

• AI-generated music videos

• cinematic short films

• emotionally grounded visual storytelling

• character/worldbuilding visuals

• and future drama/film-style projects

This is not a typical short-form content role.

We are looking for someone who understands:

• atmosphere

• emotional pacing

• cinematic storytelling

• visual tone

• music-driven emotion

• and mature human storytelling

Our audience is primarily U.S.-based adults, especially women 40+, and the emotional realism of the content is extremely important to us.

What You’ll Be Working On

• AI-assisted music videos

• Cinematic visual concepts

• Character-driven short-form storytelling

• Mood films / emotional trailers

• Visual worldbuilding for recurring personas

• Potential long-form narrative/drama development

Tools / Experience We’re Interested In

Experience with some or all of the following is highly preferred:

• Kling

• Runway

• Higgsfield

• Luma

• Sora

• Pika

• ComfyUI

• Midjourney

• Flux

• AI lip-sync / character consistency workflows

• Editing software such as Premiere, DaVinci, After Effects, etc.

You do NOT need to be an expert in every tool.

What matters most is:

• creative instinct

• emotional taste

• storytelling sensibility

• visual atmosphere

• and the ability to build emotionally compelling content rather than generic AI visuals.

Important

We are NOT looking for:

• generic anime edits

• meme content

• flashy AI demo reels

• purely technical AI experiments

• hyper-trendy TikTok aesthetics

We are much more interested in:

• cinematic restraint

• emotionally lived-in visuals

• mature storytelling

• subtle performances

• atmospheric realism

• and visual storytelling that feels human.

About the Project

• ~1M followers across platforms

• ~1M Spotify monthly listeners

• Weekly music releases

• Ongoing long-term worldbuilding project

• Growing focus on cinematic storytelling and narrative IP development

We are currently in an early but rapidly growing phase and are looking for collaborators who want to help build something long-term.

DTLA-based collaboration is strongly preferred for core team roles.

If interested, please send:

• portfolio / reel

• examples of AI-assisted visual work

• favorite films/music videos/visual inspirations

• and a short introduction about your creative interests and background.

We care far more about emotional taste and storytelling instinct than polished resumes.

Pay: $25.55 - $30.76 per hour

Work Location: In person

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Job description

Fulcrum Pvt Ltd is looking for a Senior AI Developer for our leading client.

Key Responsibilities

• Design and implement AI/ML models, algorithms, and pipelines for institutional use cases.

• Lead end-to-end development of AI-powered applications and automation tools.

• Integrate large language models (LLMs) and generative AI into existing systems.

• Collaborate with cross-functional teams to ide...ntify AI opportunities and translate them into technical solutions.

• Monitor, evaluate, and optimize model performance and accuracy.

• Develop APIs and data pipelines to support AI feature deployment.

• Maintain documentation of models, datasets, and system architecture.

• Mentor junior developers and provide technical guidance.

• Stay current with advancements in AI/ML research and industry best practices.

Requirements & Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

• 5+ years of experience in AI/ML development • Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face)

• Strong experience with LLMs, prompt engineering, and RAG architectures.

• Hands-on experience with cloud platforms (AWS, GCP, or Azure) for AI deployment.

• Solid understanding of data preprocessing, feature engineering, and model evaluation.

• Experience with API development using FastAPI or Flask.

• Strong analytical and problem-solving.

skills Preferred Qualifications

• Experience in EdTech or institutional AI applications

• Familiarity with vector databases (Pinecone, Weaviate, ChromaDB)

• Knowledge of MLOps and CI/CD pipelines for ML

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Qualifications

Python SQL data engineering AI LLM, LLM powered applications

Build and ship production AI applications on AWS using Claude and related Anthropic tooling, maintaining high standards for reliability, security, and auditability

Architect scalable systems that integrate LLMs and AI agents into internal systems, operational workflows, and business processes, owning decisions from design through production deployment

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Benefits

SALARY: $200K - $230k - $240k plus 30% bonus

Responsibilities

You won't manage people; you'll do the work, set the technical standard, and lead through expertise

You'll be the primary driver of agentic AI capabilities, architecting and building the systems that connect AI agents to real enterprise workflows in one of the most consequential and carefully regulated environments in financial markets

Define and execute AI technical roadmap, translating organizational priorities into concrete architectural decisions

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Job description

NO SPONSORSHIP - NO OPT

Principal , (AI) Artificial Intelligence Engineering

SALARY: $200K - $230k - $240k plus 30% bonus

LOCATION: Chicago, IL

Hybrid 3 days onsite

Looking for an AI research and engineering expert. Python SQL data engineering AI LLM, LLM powered applications

You won't manage people; you'll do the work, set the technical standard, and lead through expertise. You'll be the pr...

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Qualifications

Curiosity and initiative to keep up with fast-moving AI and web technologies, evaluate what matters, and apply them in product work

1-3 years of software development experience, including professional, internship, freelance, or strong project-based work

Experience building web applications with React and Python

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Benefits

$72,000-$90,000 a year

An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs

The range listed is just one component of DJEH's total compensation package for employees

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Responsibilities

In this role, you'll design and build robust, scalable back-end systems that integrate cutting-edge GPT technologies

You'll collaborate with cross-functional teams to bring innovative solutions to life, leveraging modern APIs, AI models, and automation tools to push the boundaries of what's possible

Build full-stack AI applications using React, JavaScript/TypeScript, and Python

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Job description

We are looking for a skilled and forward-thinking AI Solutions Engineer to join our team and help shape the future of AI-powered applications. In this role, you'll design and build robust, scalable back-end systems that integrate cutting-edge GPT technologies. You'll collaborate with cross-functional teams to bring innovative solutions to life, leveraging modern APIs, AI models, and automation too...

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Daniel J Edelman Holdings, Inc.

Indeed

4.5/5

2 reviews

edelman.com

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Qualifications

4+ Years Experience in Analytics + data skills: strong analytical thinking; ability to frame ambiguous questions; SQL proficiency for querying/validating datasets; strong Excel

4+ Years Experience with BI tooling: hands-on Tableau and/or Power BI (building or enhancing reports/dashboards); understanding of metrics/KPI definitions and dashboard usability

4+ Years Experience in Structured Storytelling abilities in PPT

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Benefits

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs

A reasonable estimate of the current range is $69,000 to $127,000

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance

Responsibilities

As an experienced Data Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need

Team members focus on delivering services to clients, without additional expectations related to business development or promotion

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Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on April 30, 2026

Work You'll Do/Responsibilities

• Partner with product owners and business stakeholders to intake, clarify, and document analytics needs (problem statements, scope, assumptions, success metrics/KPIs).

• Translate needs into Agile/SAFe-ready work: epics/features/user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning/reviews/retros and cross-team coordination.

• Provide ad-hoc analysis and "quick-turn" reporting (directional insights, quick views) and, where appropriate, build lightweight dashboards in Tableau/Power BI; collaborate with BI/reporting developers to industrialize high-usage reporting.

• Support recurring analyses/reports (monthly/biweekly/weekly as applicable): define requirements, validate outputs with stakeholders, and maintain runbooks.

• Coordinate/support UAT and release/change activities (dependency tracking, risk/issue management, stakeholder comms) aligned to our client's standards and governance processes.

• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required

• 4+ Years Experience in Analytics + data skills: strong analytical thinking; ability to frame ambiguous questions; SQL proficiency for querying/validating datasets; strong Excel

• 4+ Years Experience with BI tooling: hands-on Tableau and/or Power BI (building or enhancing reports/dashboards); understanding of metrics/KPI definitions and dashboard usability

• 4+ Years Experience in Structured Storytelling abilities in PPT

• 4+ Years Experience Familiarity with Snowflake

• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

• Limited immigration sponsorship may be available

• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

• Familiarity with modern data platforms/warehouses (e.g., Snowflake)

• Stakeholder management: crisp communication, expectation-setting, and ability to handle high-volume ad-hoc requests with clear prioritization and turnaround commitments.

• Analytical/ Decision Making Responsibilities

• Analytical ability to manage multiple projects and prioritize tasks into manageable work products

• Can operate independently or with minimum supervision

• Excellent Written and Communication Skills

• Ability to deliver technical demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $69,000 to $127,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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Deloitte

Indeed

3.9/5

14.2K reviews

Glassdoor

3.8/5

113.9K reviews

AmbitionBox

3.7/5

23.3K reviews

deloitte.com

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Qualifications

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems

Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration

Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)

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About the Project If the following job requirements and experience match your skills, please ensure you apply promptly. Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal

Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration.

Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).

Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.

Practical experience building for live, non-mocked environments and handling multi-turn system interactions.

Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.

High level of comfort implementing persistent state and session discovery using to track agent progress.

• Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections. xawqmyg Remote working/work at home options are available for this role.

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Qualifications

We are looking for someone who also has strong foundational systems and IT thinking

You should understand how business systems, integrations, data flows, operational processes, and technical infrastructure fit together in the real world

Translate business needs into clear system requirements and technical specifications

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Benefits

Health, Dental, Vision

FSA, HSA

401(k) plan with employer match

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Responsibilities

You will rapidly prototype internal AI tools, workflows, and automations using modern AI platforms, APIs, and AI-assisted coding tools, then help turn the best ideas into reliable systems used across the company

This role sits at the intersection of operations, AI, systems, and execution

You will work across Amazon, Shopify, warehouse systems, marketing workflows, reporting, and internal tools to identify opportunities where AI can eliminate manual work, improve decision-making, and increase team output

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Job description

Smartish is looking for a hands-on AI Systems & Automation Specialist to help build the next generation of operational systems inside our business.

You will rapidly prototype internal AI tools, workflows, and automations using modern AI platforms, APIs, and AI-assisted coding tools, then help turn the best ideas into reliable systems used across the company.

This is not just a "prompt engineer" role. We are looking for someone who also has strong foundational systems and IT thinking. You should understand how business systems, integrations, data flows, operational processes, and technical infrastructure fit together in the real world.

This role sits at the intersection of operations, AI, systems, and execution. You will work across Amazon, Shopify, warehouse systems, marketing workflows, reporting, and internal tools to identify opportunities where AI can eliminate manual work, improve decision-making, and increase team output.

We are looking for someone who learns fast, builds quickly, and is excited about using AI to solve real operational problems.

This is a great opportunity to make an immediate impact at a profitable, fast-moving e-commerce company that has been growing for 17 years.

Location: Austin, TX (Hybrid - HQ + Warehouse)

Type: Full-Time

Company: Smartish

Reports to: Head of Operations

Direct reports: In-house PHP Developer

Core Accountabilities:

• Business Process Analysis & Optimization

• AI Systems & Workflow Automation

• System Requirements & Project Scoping

• Business Systems & Infrastructure Oversight

• Support for IT

• LMA

What the actual work looks like:

In your first 30 days, you might:

• Build an internal AI tool to automate repetitive reporting

• Use AI-assisted coding tools to prototype a workflow improvement

• Connect APIs between systems using low-code or AI-supported development

• Help a department quickly create and improve their own AI workflows

• Turn a manual spreadsheet-driven process into a repeatable automated system

• Work with leadership to identify high-ROI AI opportunities across the company

Job Accountability Details:

Business Process Analysis & Optimization

• Analyze current workflows across e-commerce operations, warehouse management, inventory, and marketing data

• Identify inefficiencies, manual work, and opportunities for automation

• Collaborate with internal teams to improve processes through better systems and integrations

• Design solutions that improve operational efficiency, data visibility, and scalability

AI Systems & Workflow Automation

• Rapidly prototype internal AI-powered tools and workflows

• Use LLMs and AI-assisted coding tools to accelerate development and problem solving

• Help departments identify and implement practical AI workflows

• Convert successful AI experiments into repeatable operational systems

• Evaluate emerging AI tools and platforms for practical business use

• Create scalable internal AI processes, documentation, and best practices

• Improve company productivity through thoughtful automation and systems design

System Requirements & Project Scoping

• Translate business needs into clear system requirements and technical specifications

• Define scope and priorities for new system improvements and integrations

• Work closely with developers to design practical, scalable solutions

• Evaluate tools, platforms, and integrations that support company growth

• Ensure projects stay aligned with operational needs and business goals

Business Systems & Infrastructure Oversight

• Own the reliability and performance of key business systems and integrations

• Troubleshoot complex issues related to data flow, APIs, and system integrations

• Monitor and improve how systems interact across the business

• Maintain documentation of systems architecture and workflows

• Identify opportunities to simplify, automate, or improve system performance

Support for IT

• Provide light internal IT support for employees

• Set up computers and software for new hires

• Troubleshoot common technical issues and escalate when necessary

• Help maintain simple IT policies, documentation, and best practices

• Assist with vendor coordination when needed

LMA (Lead, Manage, Hold Accountable)

• Lead systems-related projects across departments including operations, marketing, and warehouse teams

• Manage priorities and project timelines for our small external development team

• Manage remote internal PHP developer to company objectives and embody core values and EOS leadership practices

• Hold internal and external partners accountable for system improvements and deliverables

• Provide clear communication and updates on project progress and system improvements

• Drive accountability around system ownership and documentation

What We're Looking For:

Required

• 2–4 years experience in systems, operations, automation, technical project work, or similar hands-on roles

• Strong curiosity around AI tools, automation, and operational systems

• Experience using AI tools and AI-assisted coding to accelerate output

• Comfortable learning new tools, APIs, and systems quickly

• Strong problem-solving and systems thinking ability

• Ability to independently figure things out without perfect information

• Comfortable working across technical and non-technical teams

• Strong organizational and communication skills

• Willing to work hybrid in-person in Austin (Downtown HQ + warehouse)

Bonus Points

• E-commerce or Amazon marketplace experience

• Experience working with Amazon and Shopify platforms

• Familiarity with WMS, ERP, or CRM systems

• SQL, PHP, Laravel, scripting, or QA experience

• Advanced Excel spreadsheet manipulation

• IT helpdesk or systems administration experience

• Experience working in a small and growing company

• Experience working within EOS (Entrepreneur Operating Systems)

Why This Role Is Unique

• Work on real operational systems that directly impact customers

• Exposure to every part of the business (supply chain, warehouse/inventory, marketing, product, finance)

• Direct influence on how our systems evolve as we scale

• Join a profitable, bootstrapped company that values practical solutions over bureaucracy

• Bonus points if you like tacos, dogs, or cats or all three.

This role is ideal for someone who:

• Builds side projects for fun

• Experiments with new AI tools constantly

• Likes improving systems and workflows

• Learns quickly without needing formal training

• Wants broad exposure to real business operations

• Prefers building practical solutions over endless planning

This role is NOT a fit if:

• You prefer structured environments with clear requirements

• You mainly document processes instead of building solutions

• You rely on others to drive technical execution

Benefits:

• Health, Dental, Vision

• FSA, HSA

• 401(k) plan with employer match

• PTO, Holidays

• Paid covered parking in downtown Austin

• Free phone cases & stuff for you and a +1

Smartish makes everyday life a little easier with phone cases and stuff just clever enough to solve unexpected needs. Based in downtown Austin, Texas, our team is a jaunty, down-to-earth, and highly caffeinated group of folks that, since 2009, have taken our products seriously, but ourselves... not so much. Pique your interest? Learn more about Smartish.com

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Qualifications

• The ideal candidate should have deep expertise in Python and Java, strong experience with LLM APIs such as OpenAI and Claude, and practical exposure to AI agent orchestration, MCP servers, tool calling, observability, guardrails, and enterprise automation frameworks

• 7 10+ years of software engineering experience

• 2+ years of hands-on production experience with LLM/AI applications

• Strong programming expertise in:

• Python

• Java

• Experience building enterprise-grade backend services

• AI / LLM Skills

• OpenAI / Claude / Anthropic APIs

• Prompt engineering

• Function calling

• Context window management

• AI orchestration frameworks

• Enterprise Integration Skills

• REST APIs

• PostgreSQL

• SQL Server

• API orchestration

• Workflow automation

• Hallucination mitigation

• Human approval workflows

• Observability

• AKS (Azure Kubernetes Service)

• Vector databases

• LangChain / LlamaIndex

• Temporal workflows

• AI evaluation frameworks

• Financial services domain experience

• Document intelligence systems

• 26 more items(s)

Responsibilities

• This role focuses on designing and implementing enterprise AI automation solutions that integrate with internal systems, APIs, databases, and operational workflows

• The client needs someone who can independently build scalable, secure, auditable, and production-ready AI systems for Finance and Operations teams

• Design and develop LLM-powered AI agents for enterprise workflow automation

• Build integrations between AI agents and internal enterprise systems using:

• REST APIs

• SQL databases

• MCP servers

• Tool/function calling

• Develop multi-step AI workflows for:

• Document processing

• Data validation

• Exception handling

• Operational automation

• Implement:

• Guardrails

• Output validation

• Human-in-the-loop workflows

• Audit trails

• Cost tracking

• Rate limiting

• Create reusable AI engineering frameworks including:

• Prompt management

• Evaluation harnesses

• Context orchestration

• Structured output validation

• Ensure observability through:

• Logging

• Monitoring

• Decision tracing

• Agent action visibility

• Collaborate with business and architecture teams to identify automation opportunities and integrate AI solutions into enterprise platforms

• Structured outputs

• Output validation

• AI guardrails

• Audit logging

• Rate limiting

• Monitoring & observability tools

• 34 more items(s)

More job highlights

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Metalight Solutions Inc, is seeking the following. Apply via Dice today!

AI Engineer Senior Level

Location: New York, NY

Client Domain: Alternative Investment / Financial Services

Team: Back Office Operations & Global Business Finance Technology

Job Overview

We are looking for a highly skille...d AI Engineer with strong software engineering fundamentals and hands-on experience building production-grade LLM-powered applications and autonomous agents. This role focuses on designing and implementing enterprise AI automation solutions that integrate with internal systems, APIs, databases, and operational workflows.

The ideal candidate should have deep expertise in Python and Java, strong experience with LLM APIs such as OpenAI and Claude, and practical exposure to AI agent orchestration, MCP servers, tool calling, observability, guardrails, and enterprise automation frameworks.

This is not a research-focused role. The client needs someone who can independently build scalable, secure, auditable, and production-ready AI systems for Finance and Operations teams.

Key Responsibilities

• Design and develop LLM-powered AI agents for enterprise workflow automation.

• Build integrations between AI agents and internal enterprise systems using:

• REST APIs

• SQL databases

• MCP servers

• Tool/function calling

• Develop multi-step AI workflows for:

• Document processing

• Data validation

• Exception handling

• Operational automation

• Implement:

• Guardrails

• Output validation

• Human-in-the-loop workflows

• Audit trails

• Cost tracking

• Rate limiting

• Create reusable AI engineering frameworks including:

• Prompt management

• Evaluation harnesses

• Context orchestration

• Structured output validation

• Ensure observability through:

• Logging

• Monitoring

• Decision tracing

• Agent action visibility

• Collaborate with business and architecture teams to identify automation opportunities and integrate AI solutions into enterprise platforms.

Required Skills

Core Technical Skills

• 7 10+ years of software engineering experience

• 2+ years of hands-on production experience with LLM/AI applications

• Strong programming expertise in:

• Python

• Java

• Experience building enterprise-grade backend services

AI / LLM Skills

• OpenAI / Claude / Anthropic APIs

• Prompt engineering

• Function calling

• Tool calling

• Structured outputs

• Context window management

• Multi-agent workflows

• MCP servers

• AI orchestration frameworks

Enterprise Integration Skills

• REST APIs

• PostgreSQL

• SQL Server

• Enterprise databases

• API orchestration

• Workflow automation

AI Reliability & Governance

• Hallucination mitigation

• Output validation

• AI guardrails

• Audit logging

• Human approval workflows

• Observability

• Cost optimization

• Rate limiting

DevOps / Cloud

• AKS (Azure Kubernetes Service)

• GitHub Actions

• CI/CD pipelines

• Monitoring & observability tools

Nice-to-Have Skills

• RAG pipelines

• Vector databases

• LangChain / LlamaIndex

• Temporal workflows

• AI evaluation frameworks

• Financial services domain experience

• Document intelligence systems

• Enterprise AI governance

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