Mid-Level AI Engineer – Build Agentic Systems

About the role

This is a mid-level AI Engineer position on the core product team at a pre‑seed AI startup in the recruitment technology space. You will build agentic systems that automate complex, multi‑step workflows across regulated and enterprise domains, working closely with founders and design to ship production‑grade LLM‑powered experiences that create real user impact.

Key responsibilities

• Design, build, and maintain agentic systems that automate multi‑step workflows across domains such as healthcare, legal, fintech, logistics, and compliance.
• Own production retrieval‑augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain‑specific search at scale.
• Implement multi‑agent orchestration, tool‑calling, memory, and reasoning components to deliver robust AI‑driven user experiences.
• Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise‑level reliability.
• Ship full‑stack AI products from MVP to enterprise‑grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.
• Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

Required profile

• 2 to 8 years of software engineering experience with a track record of shipping user‑facing or backend products.
• Hands‑on AI/software engineering background with production experience deploying LLM services, prompt design, orchestration, and tool integration.
• Full‑stack proficiency in Python and TypeScript/React, plus experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
• Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines.
• Experience building automated tests, evaluations, and monitoring for production AI systems.
• Comfort operating in an early‑stage startup environment with ownership and cross‑functional collaboration.

Required skills

• Python
• TypeScript
• React
• AWS
• GCP
• Relational databases
• NoSQL databases
• Vector databases
• Embeddings
• Retrieval‑augmented generation (RAG)
• LangGraph (or similar workflow frameworks)
• CrewAI (or similar)
• Temporal (or similar orchestration tools)
• Trigger (or similar orchestration tools)

What we offer

• Salary range: $180,000–$400,000 USD annually.
• On‑site role in San Francisco, California, with relocation support for candidates willing to move.