Senior Member of Technical Staff

About the Role

Join a small, early-stage public safety technology team building AI-powered tools for law enforcement. You will design and deploy secure, real-world systems that help investigators search and analyze evidence for serious cases.

What You'll Do

• Build resilient, secure distributed systems for AI-driven evidence search and analysis.

• Deploy large language models, vision models, and other machine learning systems in production.

• Design retrieval-augmented generation pipelines and semantic search 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 own solutions from discovery through deployment.

What We're Looking For

• At least 6 years of backend engineering experience building distributed systems, with production deployment experience for LLMs, vision models, or other ML systems.

• Proficiency across multiple programming languages, including Python, and experience with JavaScript or React.

• Experience building secure, resilient systems and working across multiple infrastructure providers.

• Hands-on experience with RAG or similar pipelines for unstructured data, and structured data systems involving query planning, semantic modeling, or reasoning.

• Experience in both established engineering environments and early-stage startups is valued.

• Agentic AI experience is a plus. Applicants must be authorized to work in the United States; visa sponsorship is not available.

Compensation & Benefits

Base salary: $150,000 to $215,000 annually. Equity details were not provided.

Location

Hybrid role based in San Francisco, California.