About the Role
Join a small, early-stage public safety technology team building AI tools to help law enforcement teams search and analyze complex evidence. In this high-autonomy role, you will build and deploy production systems that support sensitive investigative 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 infrastructure for unstructured data.

• Architect structured data systems, including query planning and semantic reasoning layers.

• Develop or integrate agentic systems that reason, plan, and take actions across investigative data.

• Keep pace with evolving AI models and infrastructure approaches, and drive solutions from idea through delivery.

What We’re Looking For

• At least 6 years of backend engineering experience building distributed systems, including senior, staff, founding, or technical leadership work.

• Experience deploying LLMs, vision models, or other machine learning systems in production.

• Proficiency across multiple programming languages, including Python; experience with JavaScript or React is useful.

• Hands-on experience building RAG or similar pipelines for unstructured data and systems for structured data, such as query planning or semantic modeling.

• Experience with multiple infrastructure providers and a strong foundation in system security and resilience.

• Experience at both established technology organizations and early-stage startups is valued. Agentic AI experience is a plus.

• Must be authorized to work in the United States. Visa sponsorship is not available.

Compensation & Benefits
Base salary range: $150,000 to $215,000 annually. Equity details were not provided.
Location
Hybrid in San Francisco, California.

About the Role
Join a small, early-stage public safety technology team building AI tools to help law enforcement teams search and analyze complex evidence. In this high-autonomy role, you will build and deploy production systems that support sensitive investigative 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 infrastructure for unstructured data.

• Architect structured data systems, including query planning and semantic reasoning layers.

• Develop or integrate agentic systems that reason, plan, and take actions across investigative data.

• Keep pace with evolving AI models and infrastructure approaches, and drive solutions from idea through delivery.

What We’re Looking For

• At least 6 years of backend engineering experience building distributed systems, including senior, staff, founding, or technical leadership work.

• Experience deploying LLMs, vision models, or other machine learning systems in production.

• Proficiency across multiple programming languages, including Python; experience with JavaScript or React is useful.

• Hands-on experience building RAG or similar pipelines for unstructured data and systems for structured data, such as query planning or semantic modeling.

• Experience with multiple infrastructure providers and a strong foundation in system security and resilience.

• Experience at both established technology organizations and early-stage startups is valued. Agentic AI experience is a plus.

• Must be authorized to work in the United States. Visa sponsorship is not available.

Compensation & Benefits
Base salary range: $150,000 to $215,000 annually. Equity details were not provided.
Location
Hybrid in San Francisco, California.