Artificial Intelligence Engineer
- Posted 18 hours ago
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Job Description
AI Engineer
Location: Dubai Experience: 2 to 5 years Work Type: Full-time, Work From Office (WFO)
- Design, 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.
- Experience: 2–5 years building production software, with meaningful hands-on LLM work
- Strong 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.
- Experience 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.
More Info
Key Skills
About Company
Skills:
agentic workflows, Generative AI, LLM APIs, LLMs, prompting, tool calling, Machine Learning fundamentals, RAG, AI applications
Skills:
Functions, Devops, Git, Storage, Python, Memory, Entra ID, tracing, tool function calling, multi-agent orchestration, Microsoft Foundry, Key Vault, Container Apps, Azure OpenAI, structured outputs, Azure services, prompt response logging, LLM application patterns, RAG, evaluation frameworks, AI Search, observability
Skills:
LLM APIs, prompting, tool calling, ML fundamentals, RAG, generative AI patterns, evaluation testing and monitoring, AI coding
Skills:
Ml, Golang, Rust, React, Angular, Vue.JS, Python, Kubernetes, Version Control, Docker, deployment automation, Microsoft Agent Framework, Ai, GenAI, LangGraph
Skills:
Apis, Authentication, LLMs, business systems, integrations with CRMs, tool use, testing platform solutions, platform configuration, human oversight, Agentic AI platform, knowledge retrieval, prompting, webhooks, low-code tools, workflow automation, messaging channels, AI agents, guardrails