Overview
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
Full job description
Full Job Description
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.
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →