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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.
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.
Requirements
- 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 practical production experience deploying LLM services including prompt design, orchestration, and tool integration.
- Full-stack proficiency in Python and TypeScript/React (or equivalent), plus experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
- Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment in choosing appropriate approaches.
- Experience building automated tests, evaluations, and monitoring for production AI systems.
- Experience designing API-driven, high-throughput systems and real-time product features.
- Comfort operating in an early-stage startup environment with a bias toward ownership and cross-functional collaboration.
- Familiarity with agent or workflow frameworks (such as LangGraph or CrewAI) and orchestration tools (such as Temporal or Trigger) is a plus.
- Experience with multi-tenant or enterprise-ready systems, or regulated industries such as healthcare, fintech, or legal, is a plus.
Skills
- Python
- TypeScript
- React
- AWS
- GCP
- RAG
- Vector Databases
- Embeddings
- Retrieval Pipelines
- CI/CD
- Monitoring
- Testing
- API Design
- Data Models
- LangGraph
- CrewAI
- Temporal
- Trigger
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- Mid-level
- 2 to 8 years
Salary/Compensations
- $180,000 to $400,000 USD annually