Director of AI Engineering

Required Skills & Experience

• 12–15 years of overall experience with 5–7 years in AI / ML and 3+ years in Generative AI / LLM architecture.
• Strong hands-on experience with RAG pipelines, vector search, and semantic retrieval.
• Proven experience integrating LLMs (OpenAI, Claude, Gemini, Mistral, etc.) using frameworks such as LangChain, LlamaIndex, or PromptFlow.
• Deep understanding of MCP servers – configuration, context routing, memory management, and protocol-based interoperability.
• Strong programming skills in Python, and familiarity with containerization (Docker, Kubernetes) and cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
• Expertise in MLOps / LLMOps tools (MLflow, KubeFlow, LangSmith, Weights & Biases).
• Solid grounding in data engineering, pipelines, and orchestration tools (Airflow, Prefect).
• Excellent communication, client engagement, and technical presentation skills
• Proven track record of practice building or leadership in emerging technology domains.