remote
Generative AI Engineer (LLM and Agentic Systems)
Generative AI Engineer
Senior AI Engineer to design, build, and deploy production-grade LLM-powered systems including autonomous agents, RAG architectures, and agentic workflows using frameworks like LangChain and CrewAI.
About the role
Key Responsibilities
- Design and deploy production-ready autonomous AI agents and agentic workflows
- Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases
- Develop solutions using LLM frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT
- Integrate LLMs via APIs (OpenAI, Hugging Face, Azure AI) into enterprise applications
- Implement and extend the Model Context Protocol (MCP) for secure and standardized data access
- Apply context engineering techniques to improve model performance and response quality
Requirements
- 4+ years of experience in AI/ML engineering or advanced data science
- Proven experience building and deploying production-grade autonomous agents
- Strong expertise in context engineering and prompt design strategies
- Hands-on experience with LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks
- Experience implementing RAG architectures with vector databases
Skills
llmsraglangchainlanggraphcrewaiautogptpythonopenaihugging faceazure aiautonomous agentscontext engineeringmcpai governance