AI Engineer - LLM & Agentic Systems
Core
Designing and building production-grade AI agents and agentic workflows using LLMs, RAG, reasoning, and tool orchestration to solve complex business problems.
Role type
Mid-level to Lead AI Engineer (LLM & Agentic Systems)
Builds
Scalable AI agent systems, agentic workflows, and integrated product features/APIs
Domain
B2B professional services, AI/ML, SaaS
Deliverable
production ML models | product features
Required skills
Python, LLM system design, RAG implementation, tool orchestration, multi-step reasoning, cloud deployment (AWS/GCP/Azure), production code quality
Preferred skills
SaaS/B2B AI product background, large-scale AI transformation experience, mentorship capabilities
Technologies
FastMCP, FastAPI, LangChain, LangGraph
Responsibilities
Designing AI agents and workflows, owning end-to-end delivery from exploration to production, integrating AI into core business workflows, collaborating with engineering teams on observability and maintainability
Seniority
Mid-level to Lead, hands-on IC with mentorship at senior/lead levels