AI Engineer (Mid-Level)
Core
Design, build, and maintain agentic systems and production RAG pipelines that automate multi-step workflows across healthcare, legal, fintech, logistics, and compliance domains.
Role type
Mid-level full-stack AI engineer (agentic systems & RAG)
Builds
Production RAG pipelines, retrieval infrastructure, multi-agent orchestration systems, and full-stack AI products
Domain
Enterprise AI, regulated industries (healthcare, legal, fintech, logistics)
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TypeScript/React, AWS/GCP, relational/NoSQL databases, RAG patterns, vector databases, embeddings, retrieval pipelines, automated testing/evaluation, API-driven system design, real-time feature implementation
Preferred skills
Agent/workflow frameworks (LangGraph, CrewAI), orchestration tools (Temporal, Trigger), multi-tenant architecture, regulated industry experience
Technologies
LangGraph, CrewAI, Temporal, Trigger, vector databases, AWS, GCP
Responsibilities
Design and maintain agentic systems for multi-step workflows; own production RAG pipelines and retrieval infrastructure; implement multi-agent orchestration and reasoning components; develop evaluation and safety infrastructure; ship full-stack AI products with APIs and frontend/backend code; collaborate on prioritization and success metrics
Seniority
Mid-level, hands-on IC