5 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$180k - $400k/yr
Responsibilities
- Design, build, and maintain agentic systems that automate complex multi-step workflows.
- 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 trust and reliability.
- Ship full-stack AI products from MVP to enterprise-grade, including APIs, data models, frontend and backend code, and production operations.
- 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 with shipped user-facing or backend products.
- Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration.
- Proficiency with Python, TypeScript/React or equivalent, 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 model integration, multi-tenant or enterprise-ready systems, or regulated industries.
Benefits
- Early-stage equity in a venture-backed startup.