Senior Member of Technical Staff

Wwshemi; San Francisco (CA); Hybride; USD 150 000 - 215 000; Plein temps

Résumé du poste

Wwshemi in San Francisco is seeking a senior backend engineer to build production-grade, secure distributed systems powering AI-driven evidence search and analysis. You will deploy LLMs and ML components, design RAG pipelines, and architect semantic data layers to support investigative workflows.

The role requires 6+ years in backend engineering with leadership, a strong security mindset, and experience across startups and established tech firms. Hybrid work in SF is offered.

Qualifications

• 6+ years building distributed backend systems and leading initiatives.
• Hands-on experience deploying LLMs or other ML systems to production.
• Proficiency in Python; familiarity with JavaScript/React is a plus.

Responsabilités

• Build resilient, secure distributed systems for AI-powered evidence search.
• Deploy large language models, vision models, and ML systems in production.
• Design retrieval-augmented generation pipelines for unstructured data.
• Architect data systems with query planning and semantic modeling.
• Develop or integrate agentic systems for investigative data analysis.
• Stay current with evolving AI models and infrastructure approaches.

Connaissances

Distributed systems

Backend leadership

Python

JavaScript/React

RAG pipelines

Semantic modeling

Security & resilience

Startup experience

Outils

LLM deployment tooling

Semantic search infra

Description du poste

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.