3 days ago
Base Salary
$150k - $215k/yr
Responsibilities
- 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.
- Develop retrieval-augmented generation pipelines and semantic search infrastructure for unstructured data.
- Design 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 and drive solutions from idea through deployment.
Requirements
- 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, plus experience with React and multiple infrastructure providers.
- Hands-on experience building RAG or similar pipelines for unstructured data and structured-data systems such as query planning or semantic modeling.
- Experience building secure, resilient systems in both established technology environments and early-stage startups.
- Experience with agentic AI systems is a plus.
- Authorization to work in the United States is required.
Benefits
- Hybrid role based in San Francisco, California.
- Base salary of $150,000 to $215,000 annually.
- Equity is not specified.