Senior Member of Technical Staff

CLERA; San Francisco (CA); Hybrid; USD 150,000 - 215,000; Full time

Benefits offered by this job

Hybrid work model

Competitive base salary

Job summary

Clera Labs, Inc. is building AI-powered software for law enforcement and public-sector investigations. This role involves designing secure distributed systems, deploying LLMs in production, and shaping data pipelines in a high-autonomy environment.

You will lead backend efforts, work across unstructured and structured data, and help bring agentic AI capabilities from idea to deployment in a hybrid San Francisco setting. Visa sponsorship is not available for this US-based position.

Qualifications

• 6+ years of backend engineering experience, with distributed systems focus.
• Production experience deploying LLMs or vision models.
• Proficient in Python; experience with React.
• Experience building RAG pipelines for unstructured data.
• Experience with query planning and semantic modeling.
• Authorized to work in the United States; visa sponsorship not available.

Responsibilities

• Build secure distributed systems for AI-driven evidence search and analysis.
• Deploy LLMs, vision models, and other ML systems in production.
• 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 act across investigative data.
• Evaluate emerging AI models and infrastructure approaches from idea to deployment.

Skills

Backend engineering

Distributed systems

LLM deployment

RAG pipelines

Semantic modeling

Python

React

Infrastructure providers

Secure systems

Agentic AI

US work authorization

Job description

About the Role

Join a small, early-stage team building AI-powered software for law enforcement and other public-sector investigative workflows. In this high-autonomy role, you will design and deploy secure systems that help teams search and analyze complex evidence.

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 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.

What We’re Looking For

• At least 6 years of backend engineering experience building distributed systems, including 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, and experience with React and multiple infrastructure providers.

• Hands-on experience building RAG or similar pipelines for unstructured data, and systems for structured data such as query planning or semantic modeling.

• Experience building secure, resilient systems and working in both established technology environments and early-stage startups.

• Comfort with ambiguity, fast iteration, and taking ownership. Experience with agentic AI systems is a plus.

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

Compensation & Benefits

Base salary: $150,000 to $215,000 annually. Equity is not specified.

Location

Hybrid role based in San Francisco, California, United States.