Summary
✨ AI‑Generated
An AI Engineer with 2–5 years of production software experience is sought to design, build, and deploy LLM-powered agents and features. The role combines strong Python development with prompt and tool orchestration, structured output validation, third-party API integrations, reusable guardrails, evaluation and regression testing, and clear technical documentation.
Highlights
Full-time office-based AI engineering role with hands-on ownership of production LLM agents, API integrations, reusable AI components, structured validation, evaluation pipelines, and close collaboration with product and engineering teams.
Description
AI Engineer
Location: Dubai Experience: 2 to 5 years Work Type: Full-time, Work From Office (WFO)
What You'll DoDesign, build, and deploy AI agents and LLM-powered features — prompt/harness design, tool orchestration, structured outputs.Integrate AI systems with third-party platforms — CRMs, messaging channels, support tools — via REST APIs, OAuth, and webhooks.Build and maintain reusable components (prompt libraries, guardrails, validation logic) instead of one-off scripts per use case.Write typed tool contracts and enforce output schemas (Pydantic or equivalent) to keep agent behavior predictable and testable.Set up and run evals — trajectory evals, regression tests — to catch quality drops before they reach production.Work with Product/Engineering to turn requirements into working agent behavior, and document architecture clearly enough for handoff.
What We're Looking ForExperience: 2–5 years building production software, with meaningful hands-on LLM workStrong Python — comfortable with FastAPI or Flask for backend services.Practical experience with LLM APIs (Anthropic, OpenAI, or open-source models) — prompt engineering, function calling/tool use, context management.Working knowledge of API integration patterns — OAuth 2.0, webhooks, REST, sync vs.
async/event-driven design.Familiarity with SQL and at least one vector/embedding store.Version control (Git) and basic CI/CD exposure.Clean, process-oriented coding habits — this is client-facing infra, not a hackathon.Good communication - able to explain technical trade-offs to non-technical stakeholders.
Bonus Points ForExperience with agentic coding tools (Claude Code, Cursor) in your own workflow.Exposure to voice agents, multi-channel conversational AI, or real-time streaming systems.Experience with self-hosted auth/OAuth tooling (Nango or similar) over managed platforms.Docker/Kubernetes and basic cloud deployment (AWS/GCP/Azure) experience.Startup background — comfortable owning ambiguous problems without a fully specced ticket.
