About the Role
Join a small, early-stage team building AI-powered software for law enforcement and other public-sector investigative workflows. In this high-autonomy role, you will design and deploy secure systems that help teams search and analyze complex evidence.
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 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 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 experience in senior, staff, founding, or technical leadership roles.

• Production experience deploying LLMs, vision models, or other machine learning systems.

• Strong skills across multiple programming languages, including Python, and experience with React and multiple infrastructure providers.

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

• Experience building secure, resilient systems and working in both established technology environments and early-stage startups.

• Comfort with ambiguity, fast iteration, and taking ownership. Experience with agentic AI systems is a plus.

• Authorization to work in the United States is required. Visa sponsorship is not available.

Compensation & Benefits
Base salary: $150,000 to $215,000 annually. Equity is not specified.
Location
Hybrid role based in San Francisco, California, United States.

About the Role
Join a small, early-stage team building AI-powered software for law enforcement and other public-sector investigative workflows. In this high-autonomy role, you will design and deploy secure systems that help teams search and analyze complex evidence.
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 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 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 experience in senior, staff, founding, or technical leadership roles.

• Production experience deploying LLMs, vision models, or other machine learning systems.

• Strong skills across multiple programming languages, including Python, and experience with React and multiple infrastructure providers.

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

• Experience building secure, resilient systems and working in both established technology environments and early-stage startups.

• Comfort with ambiguity, fast iteration, and taking ownership. Experience with agentic AI systems is a plus.

• Authorization to work in the United States is required. Visa sponsorship is not available.

Compensation & Benefits
Base salary: $150,000 to $215,000 annually. Equity is not specified.
Location
Hybrid role based in San Francisco, California, United States.