About the Role
Join 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
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Build resilient, secure distributed systems that support AI-driven evidence search and analysis.
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Deploy large language models, vision models, and other machine learning systems in production environments.
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Design retrieval-augmented generation pipelines and semantic search infrastructure for unstructured evidence.
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Architect structured data systems, including query planning and semantic reasoning layers.
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Build or work with agentic systems that reason, plan, and take actions across investigative data.
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Evaluate emerging AI models and infrastructure approaches, and drive solutions from idea through deployment.
What We're Looking For
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At least 6 years of backend engineering experience building distributed systems, including production deployment of LLMs, vision models, or other machine learning systems.
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Proficiency in multiple programming languages, including Python, and experience with JavaScript and React.
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Experience building secure, resilient systems across multiple infrastructure providers.
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Hands-on experience with RAG or similar pipelines for unstructured data, plus structured data systems involving query planning, semantic modeling, or reasoning.
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Experience with established technical organizations and early-stage startups is valued, along with a history of sustained contributions in roles.
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Agentic AI experience and interest in public safety technology are helpful.
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Must be authorized to work in the United States.
Compensation & Benefits
Salary range: $150,000 to $215,000 annually. Visa sponsorship is not available.
Location
Hybrid work arrangement in San Francisco, California.
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