AI Engineer (Mid-Level)
$180,000–$400,000 year
On-site · San Francisco, California, United States
Job Summary
Own production LLM-based services end-to-end, design and maintain agentic systems for multi-step workflows across regulated industries; manage retrieval pipelines and vector databases; implement multi-agent orchestration, tool-calling, memory, and reasoning components; develop evaluation and safety infrastructure to measure model performance and enforce enterprise-level trust; ship full-stack AI products from MVP to enterprise-grade, designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing; collaborate with founders, product, and design to prioritize work and iterate based on telemetry.
Required Qualifications
- 2–8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products
- Practical experience deploying LLMs or LLM-based services in production
- Proficiency across the stack: Python plus TypeScript/React, 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 AI systems
- Experience designing API-driven, high-throughput systems and real-time product features
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