3 hours ago
Base Salary
$150k - $215k/yr
Responsibilities
- Build resilient and secure distributed systems supporting AI-driven evidence search and analysis.
- Deploy LLMs, vision models, and other machine learning systems in production.
- Design RAG pipelines and semantic search infrastructure for unstructured evidence.
- Architect structured data systems with query planning, semantic modeling, and reasoning layers.
- Build or work with agentic systems that reason, plan, and act across investigative data.
- Evaluate emerging AI models and infrastructure approaches and drive solutions from idea through deployment.
Requirements
- At least 6 years of backend engineering experience building distributed systems, including production deployment of LLMs, vision models, or other machine learning systems.
- Proficiency in multiple programming languages, including Python, with experience using JavaScript and React.
- Experience building secure and resilient systems 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 with established technical organizations and early-stage startups is valued, along with sustained contributions in prior roles.
- Agentic AI experience and interest in public safety technology are helpful.
- Must be authorized to work in the United States.
Benefits
- Hybrid work arrangement in San Francisco, California.