GenAI Platform Engineer (Python, MCP & Agentic AI)
AI summary of the role
Design and build enterprise-grade GenAI platforms for investment banking and financial services, focusing on agentic workflows, MCP integrations, RAG pipelines, and secure Python/FastAPI backend services.
What you’ll do
- Design, develop, and maintain Python-based GenAI services, agent workflows, MCP integrations, and reusable platform components.
- Build MCP servers, clients, tools, resources, prompts, schemas, and authorization frameworks.
- Develop agent orchestration workflows including tool calling, function calling, retrieval, workflow execution, and output generation.
- Design and implement RAG pipelines covering ingestion, embeddings, retrieval, ranking, answer synthesis, and citations.
What you’ll bring
- Bachelor's degree in Computer Science, Engineering, AI, or related technical field (or equivalent experience).
- Strong hands-on experience with Python backend development.
- Proven experience building GenAI applications, LLM workflows, agentic systems, or AI-powered platforms.
- Experience with MCP concepts and implementations, including tools, resources, servers, and clients.
Technologies
Python · MCP · LangChain · LangGraph · FastAPI · RAG · AWS · AWS Bedrock · Claude · OpenSearch · Pinecone · pgVector
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