THE OPPORTUNITY
AllysAI is not a typical AI company. We're 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 startup.
This isn't a job. It's 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 (not experiments)
- 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 weeklyMake architecture decisions that balance speed, cost, and performanceBuild reusable components and internal tools that accelerate future projectsDocument systems so they can be maintained, extended, and handed off to clientsBridge Tech and Business
Join client calls to understand requirements and translate them into technical specsExplain tradeoffs to non-technical stakeholders without dumbing it downIdentify opportunities where AI can solve problems clients didn't know they hadContribute to proposals, scoping, and technical due diligence for new engagementsMove at Startup Speed
Prototype solutions in days using vibe coding tools (Claude, Codex, Gemini, Lovable, Cursor)Deploy to production environments confidently and frequentlyDebug, iterate, and improve based on real-world feedbackWork autonomously while keeping the team aligned on progress and blockersWHO YOU ARE
AI-Obsessed You don't just use AI—you study it. You follow AI Twitter / X, read papers, experiment with new models the week they drop, and have strong opinions about prompt engineering, RAG chunking strategies, and agent architectures. AI isn't your job;it's your obsession.
Technically Exceptional You're a Python beast. You've built production systems, not just Jupyter notebooks. You understand software engineering fundamentals : clean code, version control, testing, CI / CD, monitoring. You can debug a LangGraph agent at 2am and enjoy it.
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 CTO Material You want to lead. You think about system design, team scaling, technical strategy, and how to build something lasting. You're not looking for a comfortable job—you're looking for a rocket ship.
REQUIRED SKILLS & EXPERIENCE
Experience
3+ years building production software (not just ML experiments)1+ years working specifically with LLMs, RAG, or generative AI in productionTrack record of shipping : show us what you've builtCore Technical Skills
Python : Expert-level. FastAPI, Pydantic, async programming, clean architectureLLM Orchestration : LangChain, LangGraph, LangSmith, LlamaIndex—you've built with at least twoRAG Systems : Vector databases (Pinecone, Weaviate, Qdrant, Chroma), embedding strategies, retrieval optimization, chunking approachesAgent Frameworks : CrewAI, AutoGen, custom agent architectures—you understand when to use agents and when they're overkillAutomation Platforms : n8n, Make, Relevance AI, or similar—you can build workflows that connect AI to business systemsAPIs & Integrations : REST, webhooks, OAuth—you can connect anything to anythingCloud Platforms : AWS, GCP, or Azure—you can deploy, scale, and monitorAI / ML Depth
Prompt engineering : You write prompts that work, not prompts that sort of workFine-tuning : You've fine-tuned models (LoRA, QLoRA, or full fine-tune) and know when it's worth itEvaluation : You can measure AI system performance beyond "it looks good"Cost optimization : You understand token economics and can architect for efficiencyVibe Coding Proficiency
You actively use AI coding assistants : Claude, Codex, Cursor, Gemini, Windsurf, LovableYou can scaffold entire applications in hours, not daysYou know how to prompt coding assistants for maximum output qualityYou understand the limits—when to trust AI-generated code and when to rewriteBonus Points
Experience with multi-modal AI (vision, audio, video)Knowledge of MLOps : model versioning, experiment tracking, deployment pipelinesFamiliarity with enterprise requirements : SOC2, GDPR, data residencyOpen source contributions or public projects in AI spaceExperience in consulting, agencies, or client-facing technical rolesTECH STACK YOU'LL WORK WITH
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, Terraform (nice to have)
Vibe Coding Claude, Cursor, GitHub Copilot, Windsurf, Lovable, v0, Bolt
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 timeHigh ownership : You own projects end-to-end, from scoping to deployment to client handoffFast feedback loops : Weekly demos, rapid iteration, direct client interactionLearning culture : We share what we learn, experiment with new tools, and level up togetherSUCCESS METRICS
First 30 Days
Complete onboarding and understand AllysAI's existing systems and client projectsShip your first feature or component to a live client projectDemonstrate proficiency with our core stack (LangGraph, n8n, vector DBs)Establish your development workflow and communication rhythmFirst 90 Days
Lead a client project module from technical design to deploymentBuild at least one reusable internal tool or componentContribute to technical scoping and estimation for new proposalsDemonstrate ability to work directly with clients on technical discussionsFirst 6 Months
Own end-to-end delivery of a major client engagementIntroduce at least one new tool, framework, or approach that improves our deliveryBegin mentoring junior team members or contractorsContribute to AllysAI's technical strategy and roadmapFirst Year
Recognized as technical leader across multiple client engagementsBuilt systems serving enterprise clients with measurable business impactClear trajectory toward Lead Engineer or CTO trackShaped AllysAI's technical culture and standardsCOMPENSATION
Base Salary : Competitive, based on experience and locationPerformance Bonus : Tied to project delivery and client outcomesEquity : Meaningful stake in AllysAI's growthLearning Budget : Resources for courses, conferences, and toolsEquipment : What you need to do your best workWHY 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.
CTO 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.
HOW TO APPLY
Send an email to hiring@allysai.com with subject line : "AI Engineer - [Your Name]"
Include :
Your resume / CV (PDF)Portfolio or GitHub showing AI projects you've built (required)Short Loom video (3-5 min) : Walk us through an AI system you built—architecture decisions, challenges, what you'd do differentlyAnswer these questions (in the email body) :What's the most interesting AI paper, tool, or development you've encountered in the last month? Why?Describe your ideal tech stack for building a RAG-based customer support agent. Justify your choices.What's your controversial opinion about the current state of AI engineering?No portfolio = no review. We need to see what you've built.
INTERVIEW PROCESS
Application Review (3-5 days)Technical Screen (30 min) : Quick chat about your background and a few technical questionsTechnical Deep Dive (60-90 min) : Architecture discussion, code review of your work, live problem-solvingPaid Trial Project (1-2 days) : Real task, real compensation—see how we work togetherFinal Conversation (30 min) : Culture fit, questions, offer discussionTotal timeline : 2-3 weeks from application to offer.
AllysAI is building the future of enterprise AI adoption. If you want to be part of defining how the world's largest companies implement AI, apply now.
