About the Role
Join a founding-stage team building AI tools for public safety and criminal investigations. As a senior technical contributor, you will develop secure, production-grade systems that help investigative teams find and analyze evidence.
What You'll Do
Build resilient, secure distributed systems for AI-driven evidence search and analysis.
Deploy language models, vision models, and other machine learning systems in production.
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 act across investigative data.
Evaluate emerging models and infrastructure approaches, and own solutions from design through deployment.
What We're Looking For
At least 6 years of backend engineering experience building distributed systems, including production deployment of LLMs, vision models, or other machine learning systems.
Strong skills across multiple programming languages, including Python; experience with JavaScript and React is useful.
Experience designing RAG or similar pipelines for unstructured data, and building structured data systems with query planning, semantic modeling, or reasoning.
Experience working with multiple infrastructure providers and designing for security and resilience.
Background spanning an established technology organization and an early-stage startup, with ownership in fast-moving, ambiguous environments.
Experience with agentic AI systems is a plus.
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 in San Francisco, California, United States.