About the job
Core
Designing and implementing AI Agent platforms to solve complex customer problems by integrating LLMs, RAG, and various data sources.
Role type
Senior AI Engineer (AI Agent & Backend)
Builds
AI Agent services, RAG pipelines, and integrated backend systems for enterprise clients.
Domain
Artificial Intelligence, Large Language Models, Enterprise Software
Deliverable
production ML models | product features
Required skills
Python, API development, system integration, RAG implementation, data pipeline construction, LLM architecture understanding, observability, debugging
Preferred skills
LangChain/LangGraph, MCP server/tool integration, vector databases, hybrid search, knowledge graph modeling, on-premise/closed-network deployment, asynchronous processing
Technologies
Python, LLM, RAG, LangChain, LangGraph, MCP, Vector DB, Docker, Kubernetes
Responsibilities
Designing Agent structures for task decomposition and tool/data access; Implementing AI Agent and backend logic including prompt engineering and error handling; Integrating external APIs and data sources (M365, Google, internal systems); Building RAG pipelines for document processing and retrieval; Operating quality evaluation cycles for response and search accuracy.
Seniority
Senior, hands-on IC