We're looking for a Senior AI Engineer – Agentic AI to join our team in UAE out of either our Dubai or Abu Dhabi offices in a hybrid working mode.

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 allow complex AI workflows to operate securely and efficiently at scale.

You will be responsible for developing advanced orchestration capabilities, implementing evaluation and observability tooling and embedding enterprise controls for compliance and safety. If you are passionate about innovating with AI in real-world applications and scaling intelligent systems, this role offers an opportunity to make a significant impact in production-grade AI engineering.

Responsibilities

Design, build and deploy Generative AI and Agentic AI solutions from prototype to production Implement multi-agent orchestration patterns using frameworks such as Lang Graph, Crew AI, Auto Gen, Semantic Kernel or Open AI Agents SDK Develop the 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., Fast API), incorporating async execution, background jobs and containerized deployments Integrate enterprise systems and tools using protocols such as MCP, A2A, Open API, REST and g RPC, ensuring graceful degradation and retries Apply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management Implement evaluation pipelines and observability frameworks using tools such as Langfuse, Arize or Open Telemetry Contribute to architectural design decisions, code reviews and engineering standards 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, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (Lang Graph, Auto Gen, Crew AI or Semantic Kernel) Proven experience with RAG implementations, embeddings and vector database integrations Familiarity with stateful or long-running systems, including checkpointing and resumable workflows Cloud deployment experience (Azure preferred), using services such as Azure Open AI, AI Foundry or AI Search, with Docker and Kubernetes Understanding of schema validation frameworks (e.g., JSON Schema, Pydantic) and MLOps tools such as MLflow or Airflow Strong communication ability to explain trade-offs around cost, latency and accuracy to technical and non-technical audiences

Nice to have

Experience using Azure AI Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow engines (Temporal, Airflow or Dagster) and event-driven architectures Experience with open-source LLMs or Small Language Models for custom deployments Knowledge of AI safety and governance: guardrails, output filtering and red-teaming practices Background in fine-tuning or adapting foundation models (e.g., LoRA, distillation) for domain-specific tasks

We offer

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 in-house training and coaching, professional certifications, and courses