Clera

Senior Member of Technical Staff

San Francisco. Posted 6 days ago

The role

You will build resilient, secure distributed systems for AI-driven evidence search and analysis. You will deploy large language models, vision models, and other machine learning systems in production settings.

What you will 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 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

Required qualifications

  • At least 6 years of backend engineering experience building distributed systems
  • 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
  • Experience with React and multiple infrastructure providers
  • Hands-on experience building RAG or similar pipelines for unstructured data
  • Experience with systems for structured data such as query planning or semantic modeling
  • Experience building secure, resilient systems
  • Experience working in both established technology environments and early-stage startups
  • Comfort with ambiguity, fast iteration, and taking ownership
  • Authorization to work in the United States is required

Nice to have

  • Experience with agentic AI systems

Before you apply

  • Authorization to work in the United States is required
  • Visa sponsorship is not available

About the company

clera is a small, early-stage team building AI-powered software for law enforcement and other public-sector investigative workflows.