AI Lead Engineer

Lead the design, architecture, and delivery of enterprise-grade GenAI and Agentic AI solutions using LLMs, RAG, AI agents, and modern cloud/MLOps platforms for our client.

Key Responsibilities

• Architect and deliver scalable LLM, RAG, Agentic AI and Multi-Agent solutions.
• Define AI architecture, governance, security, and best practices.
• Collaborate with business, product, and engineering teams.
• Mentor teams and drive AI innovation and transformation.
• Evaluate emerging AI technologies and recommend adoption.

Technical Skills

• Strong AI/ML solution architecture and Python development.
• GenAI, LLMs, RAG, embeddings, prompt engineering and fine-tuning.
• AI agents, Multi-Agent systems, tool/function calling and MCP.
• LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI, AutoGen or similar.
• Vector databases: Pinecone, Qdrant, Weaviate, ChromaDB, FAISS or Azure AI Search.
• Azure OpenAI, AWS AI/ML, Google Vertex AI or equivalent.
• MLOps/LLMOps using MLflow, Kubeflow, Databricks, Azure ML, etc.
• APIs, microservices, Docker, Kubernetes, SQL/NoSQL and cloud-native architecture.
• AI monitoring, evaluation, observability and governance.

Preferred

• GraphRAG, Knowledge Graphs and Enterprise Search.
• Responsible AI, compliance and governance.
• Customer-facing AI transformation experience.

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