Found Description
Design, build, and ship production-grade Generative and Agentic AI applications and services for internal and external users
Develop high-quality backend services in Python, with strong software engineering rigor around testing, performance, and maintainability
Champion reusability and abstraction in everything you build by designing and building modular, well-abstracted components and libraries
Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
Build clean, well-tested RESTful and/or gRPC APIs with a strong focus on reliability, security, and perfo...