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