About the Role
Join a small engineering team building AI tools for law enforcement and the broader criminal justice system. In this high-autonomy role, you will develop secure systems that help investigators search and analyze complex evidence, supporting important public safety work.
What You'll Do
Build resilient, secure distributed systems for AI-powered evidence search and analysis.
Deploy large language models, vision models, and other machine learning systems in production settings.
Design retrieval-augmented generation pipelines and semantic search for unstructured evidence.
Build structured data systems, including query planning and semantic reasoning capabilities.
Work with agentic systems that can reason, plan, and take actions across investigative data.
Evaluate emerging AI models and infrastructure approaches, and drive projects from problem definition through delivery.
What We're Looking For
At least 6 years of backend engineering experience building distributed systems, including production deployment of LLMs, vision models, or other machine learning systems.
Proficiency in Python and multiple programming languages, potentially including JavaScript and React.
Experience designing RAG or similar pipelines for unstructured data, and building structured data systems with query planning, semantic modeling, or reasoning.
Experience working across multiple infrastructure providers, with security and resilience as core considerations.
A strong engineering background that includes experience in both an established organization and an early-stage startup.
Curiosity about AI, comfort with ambiguity, and motivation to contribute to public safety.
Authorized to work in the United States. Visa sponsorship is not available.
Compensation & Benefits
The salary range is $150,000 to $215,000 annually. Visa sponsorship is not available.
Location
This is a hybrid role based in San Francisco, California.