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.
You may also share your resume with us at cv@refrelay.com

Work arrangement
No