Artificial Intelligence Engineer

AI Engineer – AllysAI

Location : Remote (4+ hours overlap with UAE timezone / GMT+4)

Type : Full-time

Reports to : CEO / Founder

THE OPPORTUNITY

AllysAI is an AI Lab-as-a-Service that helps enterprises escape "pilot hell" and ship production AI in 60-90 days—not 12+ months. Our clients include Al Futtaim, Merz Pharmaceuticals, Abu Dhabi Government entities, and Sanofi. We don't do PowerPoint AI. We build systems that run in production, handle real workloads, and deliver measurable ROI.

We're looking for an AI Engineer who doesn't just write code—you architect intelligent systems. You're the person who reads AI papers on weekends, has opinions about which vector database to use and why, and can explain transformer attention mechanisms to a CEO in plain English. You ship fast, iterate faster, and treat every project like it's your own company.

This role is a launchpad. We're building the team that will define how enterprises adopt AI in the Middle East and beyond. The right person will grow into a CTO role as we scale.

WHAT YOU'LL DO

Build Production AI Systems Design and deploy RAG architectures, multi-agent systems, and LLM-powered applications for enterprise clients

Build process automation pipelines that replace manual workflows with intelligent agents

Implement fine-tuning pipelines when off-the-shelf models don't cut it

Ship solutions in 4-8 week sprints that meet enterprise security, scalability, and compliance standards

Own the Technical Vision Evaluate and integrate emerging AI tools, frameworks, and models weekly

Make architecture decisions that balance speed, cost, and performance

Build reusable components and internal tools that accelerate future projects

Document systems so they can be maintained, extended, and handed off to clients

Bridge Tech and Business Join client calls to understand requirements and translate them into technical specs

Explain tradeoffs to non-technical stakeholders clearly and confidently

Identify opportunities where AI can solve problems clients didn't know they had

Contribute to proposals, scoping, and technical due diligence for new engagements

Move at Startup Speed Prototype solutions rapidly using AI-assisted development tools (Claude, Cursor, Copilot)

Deploy to production environments confidently and frequently

Debug, iterate, and improve based on real-world feedback

Work autonomously while keeping the team aligned on progress and blockers

WHO YOU ARE

AI-Obsessed

You don't just use AI—you study it. You follow AI developments closely, read papers, experiment with new models the week they drop, and have strong opinions about prompt engineering, RAG chunking strategies, and agent architectures.

Technically Exceptional

You have expert-level Python skills. You've built production systems, not just Jupyter notebooks. You understand software engineering fundamentals : clean code, version control, testing, CI / CD, monitoring. You thrive debugging complex distributed systems.

Business-Minded Builder

You understand that code is a means to an end. You think about user problems, ROI, and adoption. You can scope a project, estimate effort, and make tradeoffs that balance technical excellence with business reality.

Future Technical Leader

You want to lead. You think about system design, team scaling, technical strategy, and how to build something lasting. You're looking for a high-growth environment where your trajectory matches your ambition.

REQUIRED SKILLS & EXPERIENCE

Experience 3+ years building production software (not just ML experiments)

2+ years working specifically with LLMs, RAG, or generative AI in production

Track record of shipping : show us what you've built

Core Technical Skills Python : Expert-level. FastAPI, Pydantic, async programming, clean architecture

LLM Orchestration : LangChain, LangGraph, LangSmith, LlamaIndex—experience with at least two

RAG Systems : Vector databases (Pinecone, Weaviate, Qdrant, Chroma), embedding strategies, retrieval optimization, chunking approaches

Agent Frameworks : CrewAI, AutoGen, Pydantic, custom agent architectures—you understand when to use agents and when they're overkill

Automation Platforms : n8n, Make, Relevance AI, or similar—you can build workflows that connect AI to business systems

APIs & Integrations : REST, webhooks, OAuth—you can connect anything to anything

Cloud Platforms : AWS, GCP, or Azure—you can deploy, scale, and monitor

AI / ML Depth Prompt engineering : You write prompts that work, not prompts that sort of work

Fine-tuning : You've fine-tuned models (LoRA, QLoRA, or full fine-tune) and know when it's worth it

Evaluation : You can measure AI system performance beyond "it looks good"

Cost optimization : You understand token economics and can architect for efficiency

AI-Assisted Development You actively use AI coding assistants : Claude, Cursor, GitHub Copilot

You can scaffold applications rapidly and iterate quickly

You know how to leverage AI tools for maximum productivity

You understand the limits—when to trust AI-generated code and when to rewrite

Bonus Points Graduated from a Top-Tier Engineering School

Experience with multi-modal AI (vision, audio, video)

Knowledge of MLOps : model versioning, experiment tracking, deployment pipelines

Familiarity with enterprise requirements : SOC2, GDPR, data residency

Open source contributions or public projects in AI spac

Experience in consulting, agencies, or client-facing technical roles

TECH STACK

Languages & Frameworks : Python, FastAPI, Pydantic, TypeScript (for frontend integrations)

LLM & AI : OpenAI, Anthropic Claude, Google Gemini, Mistral, Llama, Cohere, LangChain, LangGraph, LangSmith, LlamaIndex, CrewAI, AutoGen

Vector & Data : Pinecone, Weaviate, Qdrant, Chroma, PostgreSQL + pgvector, Supabase

Automation & Integration : n8n, Make, Relevance AI, Zapier, custom webhook architectures

Infrastructure : AWS (Lambda, ECS, Bedrock), GCP (Cloud Run, Vertex AI), Azure, Vercel, Railway, Docker, GitHub Actions

Development Tools : Claude, Cursor, GitHub Copilot

HOW WE WORK

Remote-first : Work from anywhere with 4+ hours overlap with UAE timezone (GMT+4)

Async communication : We document decisions, write clear specs, and respect deep work time

High ownership : You own projects end-to-end, from scoping to deployment to client handoff

Fast feedback loops : Weekly demos, rapid iteration, direct client interaction

Learning culture : We share what we learn, experiment with new tools, and grow together

COMPENSATION Base Salary : Competitive, based on experience and location

Performance Bonus : Tied to project delivery and client outcomes

Equity : Meaningful stake in AllysAI's growth

Learning Budget : Resources for courses, conferences, and tools

Equipment : What you need to do your best work

WHY ALLYSAI

Impact from Day One

No six-month onboarding. No bureaucracy. You'll ship to production in your first week and see your work used by real enterprises.

Work on Hard Problems

Enterprise AI implementation is genuinely difficult. You'll solve problems that don't have Stack Overflow answers—and build expertise that's rare in the market.

Technical Leadership Track

We're explicit about this : we're looking for someone who wants to lead. As AllysAI grows, so does your role. The path from AI Engineer to CTO is real and achievable here.

Front Row to the AI Revolution

You'll work across industries (pharma, real estate, government, finance), use cases (sales, marketing, HR, operations), and technologies (RAG, agents, automation, fine-tuning). No two projects are the same.

Founder Access

You'll work directly with the CEO. No layers. No politics. Direct feedback, direct impact, direct growth.