Senior AI Systems Engineer (Distributed & Secure)

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

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.