We're looking for a Senior AI Engineer – Agentic AI to join our team in the UAE, specifically in our Dubai or Abu Dhabi offices. In this role, you will design and build scalable agentic AI platforms that integrate Large Language Models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG) patterns into production-ready enterprise solutions. You will focus on creating reusable platform components, orchestration engines, and governance frameworks that facilitate secure and efficient operation of complex AI workflows at scale.
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You will be responsible for developing advanced orchestration capabilities, implementing evaluation and observability tooling, and embedding enterprise controls for compliance and safety. This role offers an opportunity to innovate with AI in real-world applications and scale intelligent systems.
Responsibilities:
- Design, build, and deploy Generative AI and Agentic AI solutions from prototype to production.
- Implement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
- Develop orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling, and resumption of long-running processes.
- Build and optimize RAG pipelines, including chunking strategies, embeddings, vector/hybrid search, and retrieval evaluation with grounded responses and citations.
- Develop memory and context management solutions, including short-term and long-term stores and compaction strategies.
- Write robust Python APIs and services (e.g., FastAPI), incorporating async execution, background jobs, and containerized deployments.
- Integrate enterprise systems and tools using protocols such as MCP, A2A, OpenAPI, REST, and gRPC.
- Apply enterprise security and governance practices including RBAC, prompt safety checks, and traceability.
- Implement evaluation pipelines and observability frameworks using tools such as Langfuse, Arize, or OpenTelemetry.
- Contribute to architectural design decisions and code reviews for platform development.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD is a plus).
- Practical experience delivering Generative AI or Agentic AI systems into production environments.
- Expertise in Python engineering for APIs, microservices, testing, and CI/CD workflows.
- Strong working knowledge of LLM capabilities including prompt design, structured outputs, and retrieval strategies.
- Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI, or Semantic Kernel).
- Proven experience with RAG implementations, embeddings, and vector database integrations.
- Familiarity with stateful or long-running systems.
- Cloud deployment experience, preferably on Azure.
- Strong communication skills to explain technical trade-offs to audiences with varying levels of understanding.
Nice to Have:
- Experience using Azure AI Foundry or Microsoft Agent Framework.
- Knowledge of MCP and A2A protocols.
- Familiarity with distributed systems and event-driven architectures.
- Experience with open-source LLMs.
Benefits:
- End of service gratuity
- Private healthcare and life insurance
- Employee assistance program
- Wellness program
- Annual air travel allowance for expatriates
- Regular performance feedback and salary reviews
- Global travel medical and accident insurance
- Referral bonuses
- Learning and development opportunities including training, certifications, and courses.
