Key skills
PythonAILarge Language ModelsRAGLangChainAgenticLangGraphPineconeWeaviateCommunication
About this role
Role Overview
- Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph
- Build and maintain scalable, high-performance backend services using Python to support AI-driven features
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information
- Architect and manage vector storage solutions (Pinecone, Weaviate) to ensure efficient similarity search and data retrieval
- Integrate Large Language Models (LLMs) with existing APIs and third-party services to enhance agent capabilities
- Work closely with product owners, data scientists, and fellow engineers to translate ambitious AI requirements into production-ready code
Requirements
- Deep expertise in LangChain, LangGraph, or Semantic Kernel (3+ YEARS OF EXPERIENCE)
- Senior-level proficiency in Python (6+ YEARS OF EXPERIENCE) and its ecosystem for building robust APIs
- Proven experience working with Pinecone, Weaviate, or similar vector search engines
- Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns
- Collaborative team player mindset with an appetite for solving ambiguous, cutting-edge problems
- Excellent verbal and written communication skills in Fluent English
Tech Stack
- Python
Benefits
- Work on international challenges
- Collaborate with diverse teams
- Growth opportunities in career
- Flexibility in work hours