2-8 years of software engineering experience with user-facing or backend products.
Substantial AI engineering experience in a product-focused environment.
Production experience with LLM-based services, including prompt design and orchestration.
Full-stack proficiency in Python and TypeScript/React, with cloud experience (AWS or GCP).
Knowledge of RAG, vector databases, embeddings, and retrieval pipelines.
Experience in building automated tests and monitoring for AI systems.
Familiarity with agent frameworks and orchestration tools, with a background in regulated industries.
Responsibilities
Build and maintain agentic systems for complex workflows in various regulated domains.
Own production RAG pipelines and retrieval infrastructure, including vector databases.
Implement multi-agent orchestration and reasoning features.
Develop evaluation and safety infrastructure to monitor model performance.
Create full-stack AI products, including APIs and frontend/backend features.
Utilize CI/CD and user feedback to enhance deployed systems.
Collaborate with product and design teams to prioritize tasks and define success metrics.
Benefits
Comprehensive health insurance options.
Flexible work hours and remote work opportunities.
Professional development and training programs.
Generous paid time off and holidays.
Collaborative and innovative work environment.
Full Job Description
About the Role
Join a product engineering team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM services across the stack, with a focus on reliability, safety, and useful outcomes for customers. What You'll Do
Build and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
Own production RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
Implement multi-agent orchestration, tool-calling, memory, and reasoning features.
Build evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.
Develop full-stack AI products, including APIs, data models, frontend and backend features, and production operations.
Use CI/CD, testing, monitoring, user feedback, and product telemetry to improve deployed systems.
Work with product and design partners to prioritize work and define success measures.
What We're Looking For
Two to eight years of software engineering experience delivering shipped user-facing or backend products, including substantive AI engineering experience in a product-focused setting.
Production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
Full-stack proficiency with Python and TypeScript/React or equivalent, along with cloud experience such as AWS or GCP and relational or NoSQL databases.
Working knowledge of RAG, vector databases, embeddings, and retrieval pipelines.
Experience building automated tests, evaluations, and monitoring for production AI systems.
Experience designing API-driven, high-throughput systems and real-time product features.
Experience with agent or workflow frameworks and orchestration tools; familiarity with fine-tuning or multimodal models is also useful.
Background in multi-tenant or enterprise systems, or regulated industries such as healthcare, fintech, or legal.
End-to-end ownership, sound engineering judgment, and a collaborative, user-focused approach.
Compensation & Benefits
Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available. Location
On-site in San Francisco, California, United States.
