Senior Member of Technical Staff

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

Job summary

Wwshemi in San Francisco combines a small, early-stage team with high-autonomy work in AI-powered software for public-sector investigations. You will design and deploy secure, scalable systems enabling search and analysis of complex evidence, including LLMs, vision models, and retrieval pipelines.

The role emphasizes ownership, fast iteration, and bridging research to production in a hybrid SF environment. Authorization to work in the United States is required.

Qualifications

• 6+ years of backend engineering experience in distributed systems.
• Production experience deploying LLMs or ML systems.
• Strong programming skills (Python) and React experience.
• Hands-on experience with RAG or similar unstructured data pipelines.
• Experience building secure, resilient systems in startups or established environments.
• Authorized to work in the United States; no visa sponsorship.

Responsibilities

• Build resilient, secure distributed systems for AI-driven evidence search and analysis.
• Deploy large language models, vision models, and 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 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

Python

React

LLMs deployment

RAG pipelines

Semantic modeling

Security/resilience

Tools

Cloud providers

Job description

This listing's locations On-site - San Francisco, California, United States

Employment Full-time

Workplace On site

Compensation $150000–215000 per year

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.

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

Location

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