AYN

Senior Member of Technical Staff

clera · San Francisco · onsite

ABOUT THE ROLE

Join a small engineering team building AI tools for law enforcement and the broader criminal justice system. In this high-autonomy role, you will develop secure systems that help investigators search and analyze complex evidence, supporting important public safety work.

WHAT YOU'LL DO

- Build resilient, secure distributed systems for AI-powered 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 for unstructured evidence.

- Build structured data systems, including query planning and semantic reasoning capabilities.

- Work with agentic systems that can reason, plan, and take actions across investigative data.

- Evaluate emerging AI models and infrastructure approaches, and drive projects from problem definition through delivery.

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.

- Proficiency in Python and multiple programming languages, potentially including JavaScript and React.

- Experience designing RAG or similar pipelines for unstructured data, and building structured data systems with query planning, semantic modeling, or reasoning.

- Experience working across multiple infrastructure providers, with security and resilience as core considerations.

- A strong engineering background that includes experience in both an established organization and an early-stage startup.

- Curiosity about AI, comfort with ambiguity, and motivation to contribute to public safety.

- Authorized to work in the United States. Visa sponsorship is not available.

COMPENSATION & BENEFITS

The salary range is $150,000 to $215,000 annually. Visa sponsorship is not available.

LOCATION

This is a hybrid role based in San Francisco, California.

Apply on the employer’s site