AI Engineer (Mid-Level)
Core
Design, build, and maintain production LLM-based agentic systems that automate complex, multi-step workflows for regulated enterprise domains.
Role type
Mid-level AI Engineer (Agentic Systems & RAG)
Builds
Production retrieval-augmented generation (RAG) pipelines, multi-agent orchestration systems, and full-stack AI products.
Domain
Enterprise AI, Regulated Industries (Healthcare, Legal, Fintech, Logistics)
Deliverable
production ML models | product features
Required skills
Python, TypeScript, React, Cloud platforms (AWS/GCP), Relational/NoSQL databases, LLM deployment, Prompt design, RAG patterns, Vector databases, Embeddings, API design, Automated testing, System monitoring
Preferred skills
Agent/workflow frameworks (LangGraph, CrewAI), Orchestration tools (Temporal, Trigger), Fine-tuning, Multi-modal model integration, Multi-tenant system design
Technologies
LangGraph, CrewAI, Temporal, Trigger, AWS, GCP
Responsibilities
Design and maintain agentic systems for complex workflows; Own RAG pipelines and retrieval infrastructure; Implement multi-agent orchestration and reasoning components; Develop evaluation and safety infrastructure; Ship full-stack AI products from MVP to enterprise-grade; Collaborate with founders and product to define metrics and iterate.
Seniority
Mid-level, hands-on IC