Clera
Senior Member of Technical Staff
Senior backend engineer at an early-stage, hybrid San Francisco startup building AI tools for law enforcement evidence search. Day to day: design and deploy distributed systems running LLMs, vision models, RAG pipelines, and agentic systems in production. Core tech: Python, distributed systems, ML/LLM deployment.
- Compensation
- $150K–$215K / yr
- Location
- San Francisco
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Experience
- 6+ years
- Category
- Software engineering
- Posted
Skills
Must have
- At least 6 years of backend engineering experience building distributed systems, including senior, staff, founding, or technical leadership work
- Experience deploying LLMs, vision models, or other machine learning systems in production
- Proficiency across multiple programming languages, including Python
- Hands-on experience building RAG or similar pipelines for unstructured data
- Experience with structured data systems, such as query planning or semantic modeling
- Experience with multiple infrastructure providers and a strong foundation in system security and resilience
- Must be authorized to work in the United States; visa sponsorship not available
Nice to have
- Experience with JavaScript or React
- Experience at both established technology organizations and early-stage startups
- Agentic AI experience
Full description
About the Role
Join a small, early-stage public safety technology team building AI tools to help law enforcement teams search and analyze complex evidence. In this high-autonomy role, you will build and deploy production systems that support sensitive investigative 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 infrastructure for unstructured data.
- Architect structured data systems, including query planning and semantic reasoning layers.
- Develop or integrate agentic systems that reason, plan, and take actions across investigative data.
- Keep pace with evolving AI models and infrastructure approaches, and drive solutions from idea through delivery.
What We're Looking For
- At least 6 years of backend engineering experience building distributed systems, including senior, staff, founding, or technical leadership work.
- Experience deploying LLMs, vision models, or other machine learning systems in production.
- Proficiency across multiple programming languages, including Python; experience with JavaScript or React is useful.
- Hands-on experience building RAG or similar pipelines for unstructured data and systems for structured data, such as query planning or semantic modeling.
- Experience with multiple infrastructure providers and a strong foundation in system security and resilience.
- Experience at both established technology organizations and early-stage startups is valued. Agentic AI experience is a plus.
- Must be authorized to work in the United States. Visa sponsorship is not available.
Compensation & Benefits
Base salary range: $150,000 to $215,000 annually. Equity details were not provided.
Location
Hybrid in San Francisco, California.