
## Full Description
A sell-side financial institution is hiring a AI Developer with expertise in Python for developing and implementing Large Language Models (LLMs) for applications. The ideal candidate will have a strong understanding of machine learning concepts, natural language processing, and experience working with financial data.

Responsibilities

Design, develop, and deploy LLMs using Python for various applications in the financial sector.

Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.

Implement machine learning algorithms and models to analyze financial data and improve decision-making processes.

Optimize and fine-tune existing models to enhance performance and accuracy.

Conduct research and stay updated on the latest trends and advancements in AI and machine learning.

Document processes, methodologies, and findings to ensure knowledge sharing within the team.

Ensure compliance with industry standards and regulations related to data privacy and security.

Qualifications

Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).

Minimum of 3 years of experience in AI development, specifically with Python.

Strong experience with LLMs and natural language processing techniques.

Familiarity with financial data and applications within the financial industry.

Proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Excellent problem-solving skills and attention to detail.

Strong communication skills and ability to work collaboratively in a team environment, in Chinese and English.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

Full-time



Qualifications

• 5+ years of experience working in an AI focused data operations organization

• A proven track record designing and executing large scale data or evaluation projects, including gathering, labeling, and post-processing data

• Proficiency with Python, LLMs, or other popular industry tools for automation

• Excellent communication and project management skills, and the ability to support several projects simultaneously

• A foundational understanding of and interest in LLMs/VLMs and multimodal AI

• Conviction that data is the key ingredient for the performance and assessment of AI models

• Experience in data collection and labeling for multimodal language models

• Experience in red teaming, localization testing, or other evaluation focused fields

• Experience working with research scientists and engineers

• Expertise or interest in video-centric domains, such as sports, advertising, and content creation

• Data Management & Visualization: Amazon S3, Various data visualization tools (framework-agnostic)

• 8 more items(s)

Benefits

• An open and inclusive culture and work environment

• Work closely with a collaborative, mission-driven team on cutting-edge AI technology

• Full health, dental, and vision benefits

• Flexible PTO and parental leave policy

• Office closed the week of Christmas and New Years

• Compensation Range: $150K - $160K

• 3 more items(s)

Responsibilities

• You will be a vital member of our ML Data Team – which leads the full spectrum of video-language data preparation and model evaluation

• This role comes with high ownership and includes responsibilities such as defining dataset needs and requirements in consultation with our research and product teams; designing and building data pipelines; and driving our post-training model evaluation strategy

• You will also be responsible for automating as much of the repetitive partnership, annotation, and quality evaluation work as possible

• A desire to work cross functionally and to build relationships is critical for success in this position

• Model Evaluation: Design and build robust model evaluation frameworks, automating repetitive processes and maintaining a balanced approach to efficiency and depth in obtaining evaluation metrics and feedback

• Portfolio Monitoring: Manage resource allocation and timelines, adjusting direction flexibly based on real-time information across all data streams in your product vertical

• External Partner Collaboration: Enhance dataset and process quality through seamless collaboration with vendors and outsourcing partners

• Data Quality & Tooling Advancement: Establish labeling guidelines, monitor data quality, and improve tools and infrastructure to build a sustainable data operations framework

• Internal Collaboration: Partner with Engineering and AI Model teams to align on top priority data needs, design tools such as analytical reports and dashboards, and clearly communicate project progress

• The ability to analyze messy and complex data, identify overarching patterns, and distill your findings into crisp annotation guidelines or model quality reports

• Development & Analysis: Python (primarily pandas, Jupyter, etc.)

• Project Management Tools: Linear, Notion

• 9 more items(s)

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Job description

Who We Are:

At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.

Wi...th a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.

We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

About the Role:

You will be a vital member of our ML Data Team – which leads the full spectrum of video-language data preparation and model evaluation. This role comes with high ownership and includes responsibilities such as defining dataset needs and requirements in consultation with our research and product teams; designing and building data pipelines; and driving our post-training model evaluation strategy. You will also be responsible for automating as much of the repetitive partnership, annotation, and quality evaluation work as possible. A desire to work cross functionally and to build relationships is critical for success in this position.

You will:

• Model Evaluation: Design and build robust model evaluation frameworks, automating repetitive processes and maintaining a balanced approach to efficiency and depth in obtaining evaluation metrics and feedback.

• Portfolio Monitoring: Manage resource allocation and timelines, adjusting direction flexibly based on real-time information across all data streams in your product vertical.

• External Partner Collaboration: Enhance dataset and process quality through seamless collaboration with vendors and outsourcing partners.

• Data Quality & Tooling Advancement: Establish labeling guidelines, monitor data quality, and improve tools and infrastructure to build a sustainable data operations framework.

• Internal Collaboration: Partner with Engineering and AI Model teams to align on top priority data needs, design tools such as analytical reports and dashboards, and clearly communicate project progress.

You may be a good fit if you have:

• 5+ years of experience working in an AI focused data operations organization.

• A proven track record designing and executing large scale data or evaluation projects, including gathering, labeling, and post-processing data.

• The ability to analyze messy and complex data, identify overarching patterns, and distill your findings into crisp annotation guidelines or model quality reports.

• Proficiency with Python, LLMs, or other popular industry tools for automation.

• Excellent communication and project management skills, and the ability to support several projects simultaneously.

• A foundational understanding of and interest in LLMs/VLMs and multimodal AI.

• Conviction that data is the key ingredient for the performance and assessment of AI models.

You’ll stand out if you have:

• Experience in data collection and labeling for multimodal language models.

• Experience in red teaming, localization testing, or other evaluation focused fields.

• Experience working with research scientists and engineers.

• Expertise or interest in video-centric domains, such as sports, advertising, and content creation.

Tech Stack:

• Development & Analysis: Python (primarily pandas, Jupyter, etc.)

• Data Management & Visualization: Amazon S3, Various data visualization tools (framework-agnostic)

• Project Management Tools: Linear, Notion

Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.

We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

Benefits and Perks:

An open and inclusive culture and work environment.

Work closely with a collaborative, mission-driven team on cutting-edge AI technology.

Full health, dental, and vision benefits.

Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.

Compensation Range: $150K - $160K

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Key Responsibilities

I design and develop AI-powered agents to handle tasks such as customer support, lead qualification, content generation, and internal operations

I build and manage automation workflows using tools like Zapier, Make, and n8n

I integrate APIs and connect systems including CRMs, websites, databases, and third-party services

I develop conversational AI solutions using platform...s like OpenAI, Dialogflow, or Rasa

I analyze existing processes and identify opportunities for automation and optimization

I create and maintain documentation for workflows, systems, and integrations

I monitor performance of AI agents and continuously improve accuracy and efficiency

I ensure data privacy, security, and compliance across all automation systems

Required Skills & Qualifications

I have hands-on experience building automation workflows and AI agents

I am proficient in API integrations, webhooks, and data handling

I have working knowledge of programming languages such as JavaScript or Python

I understand prompt engineering and how to optimize outputs from large language models

I have experience with databases (SQL or NoSQL) and cloud platforms

I am comfortable working with tools like Airtable, Notion, and HubSpot

I have strong problem-solving skills and can think in systems and workflows

Preferred Qualifications

I have experience building AI copilots, chatbots, or autonomous agents

I am familiar with vector databases and embeddings

I have worked with tools like LangChain or AutoGPT

I have experience with workflow optimization in sales, marketing, or operations

I have a portfolio of automation or AI projects

Key Outcomes / KPIs

I reduce manual workload through effective automation

I improve response times and operational efficiency

I increase conversion rates through AI-driven workflows

I deploy stable, scalable AI systems with minimal downtime

What Success Looks Like

Within the first 30–60 days, I have identified key automation opportunities and deployed initial workflows

Within 90 days, I have built and optimized multiple AI agents that deliver measurable business impact

Why Join Us

I will be working at the forefront of AI innovation, building systems that directly impact business growth and efficiency. This role offers the opportunity to experiment, innovate, and scale cutting-edge automation solutions.

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Job description

Assistant Professor of Practice in Artificial Intelligence:

The Department of Information Technology in the College of Engineering and Information Technology (CEIT) at Ajman University invites applications for a full-time Assistant Professor of Practice in Artificial Intelligence, beginning in the Fall 2026–2027 academic year. This position is intended for a qualified academic and industry-orient...ed professional who can bring current, practice-based expertise in Artificial Intelligence to the classroom. The successful candidate will contribute to an applied learning environment by delivering innovative, engaging instruction, integrating real-world AI tools and workflows into instruction, and helping students develop the practical, professional, and entrepreneurial skills needed for careers in AI and related digital technologies. The role places particular emphasis on industry engagement, applied learning, partnership development, and workforce readiness, in addition to teaching, academic service, and scholarly or professional contributions.

QUALIFICATIONS & EXPERIENCE:

• Ph.D. in Artificial Intelligence, Computer Science, Information Technology, Data Science, or a closely related field from a reputable university

• Demonstrated teaching experience in AI, computing, or IT-related courses at the undergraduate level

• Strong professional or leadership experience in industry, data-driven organizations, digital transformation, software development, intelligent systems, or related technology sectors

• Ability to connect theory with professional practice and translate industry needs into relevant learning experiences

• Experience in supervising student capstone projects, internships, applied projects, or practice-based learning activities

• Experience with contemporary AI tools, frameworks, and platforms, such as machine learning libraries, generative AI tools, cloud AI services, data analytics platforms, MLOps environments, or intelligent application development ecosystems

• Evidence of professional engagement, applied scholarship, consultancy, innovation, or collaborative projects with external partners

• Record of community engagement, academic service, or professional activities

• Interdisciplinary collaboration experience is desirable

• Experience, or strong potential, in securing external support through grants, consultancy, sponsored projects, or industry collaboration is an advantage

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Teach undergraduate courses in Artificial Intelligence, Information Technology, and related areas using effective, student-centered, and technology-enhanced teaching approaches

• Design and deliver practice-oriented learning experiences that incorporate real-world case studies, datasets, tools, platforms, and industry scenarios

• Supervise student capstone projects, internships, applied research, innovation projects, and career-oriented activities

• Contribute to curriculum development and continuous improvement to ensure alignment with advances in AI, industry trends, employer expectations, and accreditation requirements

• Build and sustain partnerships with industry, government, and community stakeholders to support internships, guest lectures, mentoring, live projects, consulting, and collaborative initiatives

• Support the development of innovation spaces, AI practice environments, and experiential learning opportunities for students

• Mentor students in professional readiness, including portfolio development, competitions, certifications, entrepreneurship, and career pathways in AI and digital technologies

• Engage in professional practice, applied research, scholarly activity, or pedagogical innovation relevant to the field

• Contribute to the growth and visibility of Ajman University through teaching excellence, service, outreach, and external engagement

• Assess student learning, monitor academic progress, and provide timely and constructive feedback

• Foster an inclusive, respectful, and culturally responsive learning environment

• Establish and maintain effective professional relationships within the University and with external stakeholders

• Participate in professional organizations, conferences, and industry networks to maintain currency in the field

• Participate actively in departmental, college, and university committees and other institutional service activities

• Perform other job-related duties as assigned

KNOWLEDGE & SKILLS:

• Strong oral and written communication skills

• Ability to teach effectively in a diverse and multicultural environment

• Ability to connect academic content with current industry practice and emerging technological developments

• Ability to supervise student projects and provide academic and professional mentoring

• Familiarity with the credit-hour academic system

• Familiarity with Learning Management Systems and digital teaching tools

• Knowledge of curriculum planning, assessment, and program development

• Ability to work collaboratively with faculty, students, industry representatives, and other stakeholders

• Awareness of responsible AI practices, including ethics, governance, privacy, security, and societal impact

• Ability to contribute to applied scholarship, innovation, or professional engagement relevant to the discipline

APPLICATION PROCESS

A completed application will include:

• A letter of interest addressing qualifications for the position.

• A current curriculum vitae.

• A statement of teaching philosophy and research.

• A list of three professional references with names, titles, phone numbers, and email addresses- including a current or previous supervisor.

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Job description

IMPORTANT: TO APPLY, PLEASE COMPLETE THE TEST AT THE FOLLOWING LINK:

https://tally.so/r/3l2WzV

We review every applicant who completes the test. The posting closes in approximately 4 days.

About Olivia AI

Olivia is the AI brand designer for e-commerce. Brands use Olivia to generate professional product photography, ad creatives, and marketing assets through natural conversation—in minutes, not... months.

We’re replacing the fragmented, expensive workflow of agencies, freelancers, and manual design tools with a single AI-native platform that handles everything from product shot generation to campaign-ready ads. Our customers range from scaling DTC brands to enterprise retailers.

Join us as we build the operating system for visual commerce—a $178.8B market that’s being completely reshaped by AI.

The Opportunity: Applied Agentic Developer

We’re hiring our first engineer. This is a founding role—not a ticket-taker position.

An Applied Agentic Developer at Olivia is a builder who ships end-to-end: you’ll own features from concept through production, make product decisions, and push code daily. You think like a founder, design with user empathy, and write code that works at scale.

You’ll be working directly with our CTO on the hardest problems in AI-powered creative tooling: real-time image generation pipelines, canvas-based editing systems, multi-model orchestration, and conversational UX that actually feels intelligent.

This role requires creativity, speed, and comfort with ambiguity. If you need a detailed spec before you start building, this isn’t the right fit. If you get excited about shipping something rough, getting user feedback by end of day, and iterating fast—keep reading.

Why Join Olivia

• First Engineering Hire:

Shape the technical foundation and culture from day one. This is the ground floor.

• Founder-Level Impact:

Work directly with the co-founders. Your ideas will ship, not sit in a backlog.

• Real Product, Real Users:

Olivia is live with paying e-commerce brands. You’ll see the impact of your work immediately.

• Equity Path:

Potential equity options at specific tenure and milestone achievements.

• Remote-First, High-Agency:

No performative meetings. We care about output, not hours logged.

A Day in the Life

We want to be transparent about how we work. Here’s what a typical day looks like:

• Start with a quick, high-context standup to align on priorities.

• Dive into building with AI-native tools like Cursor and Augment—rapidly implementing and iterating on generative, agentic, and conversational features.

• Collaborate with the founding team via Slack and Loom—sharing progress, demoing builds, and brainstorming solutions async.

• Push code daily. We believe in accountability and tangible progress.

• Spend time not just coding, but thinking—creating mockups, questioning assumptions, and proactively suggesting improvements.

• Work across the three AI pillars that define Olivia: Generative (image/asset creation), Agentic (autonomous design decisions), and Conversational (natural language control).

Who You Are The short version:

• 0→1 Builder

– Ex-founder or founding engineer who’s shipped product from scratch.

• Relentless Fixer

– Turns blockers into shipped features. Doesn’t wait for permission.

• Autonomous Operator

– Thrives in ambiguity. Creates structure, doesn’t need hand-holding.

• AI-Native

– Already building with agents, model APIs, and tools like Codex. Understands when to leverage AI and when to apply human judgment.

• Design Instinct

– You don’t build ugly things. Even without formal design training, your UX sense is strong.

• Startup DNA

– Loves small teams, big impact, full ownership. Brings energy, not ego.

Your Approach & Mindset

Proactive, Not Reactive

You don’t wait for detailed specs. You anticipate needs, experiment with solutions, and bring concrete ideas to the table. When asked to build a button, you come back with three interface concepts and explain the UX implications of each.

AI-Accelerated Development

You have real, hands-on experience using tools like Cursor and Augment to dramatically accelerate your workflow. You know how to effectively partner with AI to build complex applications—and you know when to override it.

Rapid Learner

Whether self-taught or formally tr

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About the role

We are looking for a forward-thinking AI Engineer who doesn't just build chatbots, but designs autonomous agents. In this role, you will move beyond simple RAG (Retrieval-Augmented Generation) to develop agentic workflows capable of reasoning, planning, and executing complex business tasks. You will leverage the AWS ecosystem to build scalable, secure, and production-grade AI syste...ms that integrate directly with the core business operations.

About the job

• Design and implement multi-agent systems using frameworks like LangGraph, AutoGen, or CrewAI to automate end-to-end business processes.

• Build sophisticated reasoning loops (Chain-of-Thought, ReAct) that allow agents to use tools, call APIs, and self-correct.

• Deploy and scale models using Amazon Bedrock, Amazon SageMaker, and AWS Lambda.

• Implement advanced RAG pipelines utilizing Amazon Kendra or Vector Engine for Amazon OpenSearch to provide agents with real-time business context.

• Establish rigorous testing frameworks to measure agent reliability, hallucination rates, and cost-efficiency.

• Partner with product and operations teams to identify manual bottlenecks that can be solved through autonomous AI agents.

Requirements

• Bachelor of Computer seience, information system, or equaivalent

• Deep understanding of LLMs (Claude, Llama, GPT) and the nuances of prompt engineering for tool-calling.

• Mastery of Python and experience with asynchronous programming (essential for agentic loops).

• Hands-on experience with AWS (IAM, S3, Bedrock, Step Functions, and EventBridge).

• Experience with vector databases for long-term agent memory and context retrieval.

• Familiarity with CI/CD for AI, including monitoring agent traces and performance logging.

• Proficient in Chinese and English

Application

Our specialist consultant Wendy will get in touch with you soon, if we find your profile suitable for this position or any other vacancies we are recruiting for.

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Are you a university student or recent graduate passionate about the future of Artificial Intelligence and its impact on emerging markets?

The

Global South AI Initiative (GSAII)

is an emerging think tank dedicated to shaping AI policy, governance, and innovation in the Global South. We are currently seeking driven, forward-thinking individuals to join our inaugural cohort as

AI Fellows

.

What is... the GSAII AI Fellowship?

This fellowship is a unique, project-based program designed to empower the next generation of researchers and policy thinkers. Under the guidance of a dedicated Engagement Manager, our AI Fellows will collaborate to research, draft, and publish a flagship thought leadership paper addressing critical AI policy challenges in developing economies.

What You Will Do:

• Conduct High-Impact Research:

Dive deep into the intersection of AI adoption, socioeconomic policy, and governance in the Global South.

• Collaborate & Draft:

Work closely with a cohort of peers and your Engagement Manager to structure, write, and refine a comprehensive thought leadership publication.

• Drive the Narrative:

Help build frameworks and policy recommendations that address the unique challenges and opportunities of AI in emerging markets.

Who We Are Looking For:

• Current university students (undergraduate or graduate) or recent graduates.

• Individuals with a strong interest in AI policy, economics, tech governance, or social impact.

• Excellent researchers and writers who can synthesize complex data into structured, compelling narratives.

• Self-starters who thrive in a collaborative, remote environment.

What You Will Gain:

• Co-authorship:

Your name will be featured as a co-author on a finalized, high-impact thought leadership paper.

• Mentorship & Structure:

Experience a professional consulting/research workflow guided by an experienced Engagement Manager.

• Network Building:

Connect with like-minded peers and professionals passionate about tech policy and global development.

Please note: GSAII is in its early growth stages, and this is currently a remote, volunteer-based fellowship with no financial compensation. It is an opportunity designed for portfolio building, publication, and impact.

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Job description

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain.

We are pleased to share an exciting opportunity f...or the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.

Job Purpose

Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation.

Key Accountabilities

• Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).

• Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.

• Perform feature engineering, model tuning, and performance optimization.

• Prepare, cleanse, and transform structured and unstructured datasets.

• Support deployment of ML and GenAI models using MLOps and LLMOps practices.

• Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.

• Integrate AI solutions via APIs into enterprise systems.

• Document model design, assumptions, risks, and validation results.

• Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.

• Support monitoring, retraining, and lifecycle management of deployed models.

Minimum Qualification, Experience and Competencies

• Minimum Qualification

• Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field

Minimum Experience

• 4–6 years in data science, machine learning, or applied AI roles.

Skills:

• Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)

• Prompt engineering

• RAG pipelines & vector databases

• Model fine-tuning and evaluation

• Data preprocessing & feature engineering

• Basic cloud deployment concepts

• MLOps / LLMOps fundamentals

• Analytical problem-solving

• Results Orientation

• Collaboration

• Continuous Improvement

• Accountability

Benefits

1. Career Growth

2. Competitive Salaries

3. Comprehensive Package

4. Inclusive Work Environment

5. Work-Life Balance

6. Employee wellness

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About the Role

We are expanding our AI and automation practice across our group companies and external GCC clients. We are hiring a senior

AI Automation Consultant

to lead transformation initiatives by identifying operational inefficiencies, designing AI-powered workflows, and delivering scalable automation solutions that create measurable business impact.

This is a senior, client-facing role fo...cused on discovery, solution architecture, workflow automation, AI implementation, and stakeholder management. You will work closely with leadership teams, internal departments, and external clients to design and deploy practical AI systems that improve operations and productivity.

Key ResponsibilitiesBusiness Discovery & Process Analysis

• Lead discovery sessions with internal departments and external clients

• Analyze workflows, identify bottlenecks, and uncover automation opportunities

• Map current-state and future-state operational processes

• Build ROI-driven business cases for AI and automation adoption

AI & Automation Solution Design

• Design AI-powered workflows, intelligent agents, RAG systems, document processing pipelines, and automation architectures

• Architect solutions using:

• OpenAI / Anthropic APIs

• n8n, Make, Zapier

• Vector databases

• CRM, ERP, HRMS, and telephony integrations

• Define implementation scope, technical specifications, and acceptance criteria

Project Delivery & Implementation Support

• Collaborate with automation engineers during implementation

• Validate outputs, conduct testing, and ensure production readiness

• Lead pilot deployments and user adoption initiatives

• Develop SOPs, documentation, and training materials

Client Engagement & Pre-Sales

• Participate in client meetings, workshops, and scoping sessions

• Support proposal writing, solution presentations, and demos

• Communicate technical concepts clearly to non-technical stakeholders

Responsible AI & Governance

• Ensure proper data handling and output validation practices

• Design human-in-the-loop workflows where required

• Address security, compliance, and operational risks in AI systems

Requirements

• 5+ years of experience in consulting, digital transformation, automation, or solution design

• Minimum 2 years of hands-on experience in AI, intelligent automation, or workflow automation

• Proven experience delivering automation or AI projects end-to-end

• Strong understanding of LLMs, prompt engineering, AI agents, and evaluated AI systems

• Hands-on experience with automation platforms such as n8n, Make, or Zapier

• Experience integrating APIs, webhooks, and enterprise systems

• Familiarity with CRM, ERP, HRMS, or telephony/contact-center platforms

• Strong communication, presentation, and stakeholder management skills

• Ability to create professional reports, architecture documents, and client proposals

Preferred Qualifications

• Python or TypeScript knowledge

• Experience with RAG systems and vector databases

• Background in logistics, telematics, fleet, or supply chain operations

• Experience working with GCC clients

• Founder, operator, or transformation leadership experience is a plus

Why Join Us

• Opportunity to lead real-world AI transformation projects

• Direct collaboration with leadership and decision-makers

• Exposure to internal and external GCC client engagements

• Freedom to recommend tools, processes, and innovation initiatives

• High-impact role with ownership from strategy to execution

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AI Developer - ibank ($45-60k + bonus)

Full Description

Responsibilities

Qualifications

Zero to AI Engineer