Artificial Intelligence Engineer

Key Responsibilities:

• Build and orchestrate multi‑agent systems (A2A communication, multi‑agent orchestration, etc.).
• Integrate Azure OpenAI, Azure AI Search, and other LLM/model endpoints.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Develop tooling and MCP integrations.
• Build evaluation, testing, observability, and monitoring capabilities for AI applications.
• Develop scalable backend services and production-ready agent workflows.
• Optimize prompt engineering, retrieval strategies, and context management for enterprise AI solutions.
• Enforce identity, RBAC, Zero Trust, encryption, and Responsible AI guardrails across autonomous agent operations.

Must-Have Skills & Requirements:

• Hands-on experience with Azure OpenAI Service and Azure AI ecosystem.
• Strong programming skills in Python (mandatory) and familiarity with JavaScript/TypeScript or C#.
• Strong expertise in Retrieval-Augmented Generation (RAG) architectures and enterprise search implementations.
• Knowledge of vector databases such as Azure AI Search, Cosmos DB, Pinecone, Weaviate, FAISS, or ChromaDB.
• Experience with multi-agent orchestration and A2A communication patterns.
• Experience benchmarking, evaluating, and testing LLMs and AI systems.
• Familiarity with prompt engineering, fine-tuning concepts, and LLM observability tools.