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.
Job description provided by Clera.
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