About the RoleJoin a small engineering team building AI-powered software for law enforcement and other high-stakes public safety work. You will design and deploy systems that help investigators search and analyze complex evidence, contributing directly to tools used in serious investigations.
What You'll Do- Build resilient, secure distributed systems that support AI-driven evidence search and analysis.
- Deploy large language models, vision models, and other machine learning systems in production environments.
- Design retrieval-augmented generation pipelines and semantic search infrastructure for unstructured evidence.
- Architect structured data systems, including query planning and semantic reasoning layers.
- Build or work with agentic systems that reason, plan, and take actions across investigative data.
- Evaluate emerging AI models and infrastructure approaches, and drive solutions from idea through deployment.
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 multiple programming languages, including Python, and experience with JavaScript and React.
- Experience building secure, resilient systems across multiple infrastructure providers.
- Hands-on experience with RAG or similar pipelines for unstructured data, plus structured data systems involving query planning, semantic modeling, or reasoning.
- Experience with established technical organizations and early-stage startups is valued, along with a history of sustained contributions in roles.
- Agentic AI experience and interest in public safety technology are helpful.
- Must be authorized to work in the United States.
Compensation & BenefitsSalary range: $150,000 to $215,000 annually. Visa sponsorship is not available.
LocationHybrid work arrangement in San Francisco, California.
