3 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$180k - $400k/yr
Responsibilities
- Design, build, and maintain agentic systems for complex, multi-step workflows across regulated industries.
- Own production RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
- Implement multi-agent orchestration, tool calling, memory, and reasoning components.
- Develop evaluation and safety infrastructure to measure model performance, identify regressions, and support enterprise reliability.
- Ship full-stack AI products by designing APIs and data models, writing frontend and backend code, and operating production systems.
- Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate using user feedback and telemetry.
Requirements
- 2–8 years of software engineering experience delivering shipped user-facing or backend products.
- Production experience deploying LLMs or LLM-based services, including prompt design, orchestration, and tool integration.
- Proficiency with Python, TypeScript/React or equivalent technologies, 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.
- Preferred experience with LangGraph, CrewAI, Temporal, Trigger, fine-tuning, parameter-efficient tuning, multimodal models, multi-tenant or enterprise systems, or regulated industries.
Benefits
- Early-stage equity in a venture-backed startup.