AI/ML/Gen AI Engineer

AI Agent Development

- Hands-on expertise in building agentic applications and multi-agent
workflows using frameworks such as LangChain, LangGraph, Crew AI, OpenAI
Agent SDK, or similar

- Strong understanding of agentic patterns: planning, memory, tool usage,
reasoning chains, multi-agent coordination, and failure handling

- Proficiency in building **Retrieval-Augmented Generation (RAG)** systems —
embeddings, vector databases, semantic search, chunking strategies

- Strong **Prompt Engineering** skills — designing, iterating, and optimising
prompts for reliable agent behaviour

- Experience integrating tools, APIs, and data sources via MCP servers,
function calling, and webhook patterns

- Ability to implement agent memory, state management, and context window
optimisation