Artificial Intelligence Engineer

AI Engineer – AllysAILocation: Remote (4+ hours overlap with UAE timezone / GMT+4)Type: Full-timeReports to: CEO/FounderTHE OPPORTUNITYAllysAI 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 DOBuild Production AI SystemsDesign and deploy RAG architectures, multi-agent systems, and LLM-powered applications for enterprise clientsBuild process automation pipelines that replace manual workflows with intelligent agentsImplement fine-tuning pipelines when off-the-shelf models don't cut itShip solutions in 4-8 week sprints that meet enterprise security, scalability, and compliance standardsOwn the Technical VisionEvaluate 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 BusinessJoin client calls to understand requirements and translate them into technical specsExplain tradeoffs to non-technical stakeholders clearly and confidentlyIdentify opportunities where AI can solve problems clients didn't know they hadContribute to proposals, scoping, and technical due diligence for new engagementsMove at Startup SpeedPrototype solutions rapidly using AI-assisted development tools (Claude, Cursor, Copilot)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 AREAI-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 & EXPERIENCEExperience3+ years building production software (not just ML experiments)2+ years working specifically with LLMs, RAG, or generative AI in productionTrack record of shipping: show us what you've builtCore Technical SkillsPython: Expert-level. FastAPI, Pydantic, async programming, clean architectureLLM Orchestration: LangChain, LangGraph, LangSmith, LlamaIndex—experience with at least twoRAG Systems: Vector databases (Pinecone, Weaviate, Qdrant, Chroma), embedding strategies, retrieval optimization, chunking approachesAgent Frameworks: CrewAI, AutoGen, Pydantic, 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 DepthPrompt 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 efficiencyAI-Assisted DevelopmentYou actively use AI coding assistants: Claude, Cursor, GitHub CopilotYou can scaffold applications rapidly and iterate quicklyYou know how to leverage AI tools for maximum productivityYou understand the limits—when to trust AI-generated code and when to rewriteBonus PointsGraduated from a Top-Tier Engineering SchoolExperience 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 spacExperience in consulting, agencies, or client-facing technical rolesTECH STACKLanguages & Frameworks: Python, FastAPI, Pydantic, TypeScript (for frontend integrations)LLM & AI: OpenAI, Anthropic Claude, Google Gemini, Mistral, Llama, Cohere, LangChain, LangGraph, LangSmith, LlamaIndex, CrewAI, AutoGenVector & Data: Pinecone, Weaviate, Qdrant, Chroma, PostgreSQL + pgvector, SupabaseAutomation & Integration: n8n, Make, Relevance AI, Zapier, custom webhook architecturesInfrastructure: AWS (Lambda, ECS, Bedrock), GCP (Cloud Run, Vertex AI), Azure, Vercel, Railway, Docker, GitHub ActionsDevelopment Tools: Claude, Cursor, GitHub CopilotHOW WE WORKRemote-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 grow togetherCOMPENSATIONBase 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 ALLYSAIImpact 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 AccessYou'll work directly with the CEO. No layers. No politics. Direct feedback, direct impact, direct growth.