Senior Applied AI Engineer
Core
Design and develop a multi-agent AI framework and LLM-powered features for fleet and field service operational intelligence.
Role type
Senior Applied AI Engineer (LLM & Multi-Agent Systems)
Builds
Multi-agent AI platform, LLM pipelines, and operational intelligence features for fleet managers and dispatchers
Domain
Fleet management, field service operations, AI/ML
Deliverable
production ML models | product features
Required skills
Python, multi-agent system design, LLM API integration, text-to-SQL, RAG, prompt engineering, CI/CD, observability
Preferred skills
Agentic AI platforms, fleet/telematics domain knowledge, evaluation frameworks, full-stack experience
Technologies
LangGraph, LangChain, OpenAI, Anthropic, PostgreSQL, FastAPI, React, AWS
Responsibilities
Design multi-agent framework with orchestration and memory; Build LLM pipelines for text-to-SQL and data reasoning; Develop RAG strategies; Architect prompt engineering and evaluation systems; Collaborate on user-facing features; Monitor and improve model performance in production
Seniority
Senior, hands-on IC