2 hours ago
Base Salary
$150k - $215k/yr
Responsibilities
- Build secure, resilient distributed systems for AI-driven evidence search and analysis.
- Deploy language models, vision models, and other machine learning systems in production.
- Design retrieval-augmented generation pipelines and semantic search infrastructure for unstructured data.
- Architect structured data systems with query planning, semantic reasoning, and modeling layers.
- Develop or work with agentic systems that reason, plan, and act across investigative data.
- Evaluate emerging models and infrastructure approaches and own solutions from design through deployment.
Requirements
- At least 6 years of backend engineering experience building distributed systems, including production deployment of LLMs, vision models, or other machine learning systems.
- Strong skills across multiple programming languages, including Python; experience with JavaScript and React is useful.
- Experience designing RAG or similar pipelines for unstructured data and building structured data systems with query planning, semantic modeling, or reasoning.
- Experience with multiple infrastructure providers and designing for security and resilience.
- Experience in both an established technology organization and an early-stage startup, with ownership in fast-moving, ambiguous environments.
- Experience with agentic AI systems is a plus.
- Must be authorized to work in the United States.
Benefits
- Base salary of $150,000 to $215,000 annually.
- Hybrid work arrangement in San Francisco, California.
- Equity details were not provided.