Senior AI/ML Engineer

About the Role

Join the applied AI team at a venture-backed enterprise AI software company to build the systems layer behind a process intelligence platform. You will turn messy enterprise data into useful, measurable, and reliable AI-powered product experiences.
What Youll Do

Build and maintain production AI services and pipelines, including retrieval, context construction, structured extraction, orchestration, and model provider selection.

Develop evaluation datasets, benchmarks, regression tests, guardrails, and fallback paths to measure and improve AI quality.

Monitor and troubleshoot production behavior, addressing latency, cost, reliability, and failures.

Work across the full pipeline from raw customer data to generated outputs, incorporating customer feedback into product improvements.

Take ownership of projects from design and implementation through deployment, measurement, and ongoing monitoring.

What Were Looking For

Four to ten years of applied AI, ML, or software engineering experience, including sustained ownership of customer-facing production systems.

Strong Python skills, experience with asynchronous services, and hands-on integration of hosted LLM APIs such as OpenAI, Anthropic, Gemini, or Cohere.

Experience with RAG, retrieval, vector search, embeddings, context construction, or agent orchestration, plus AI evaluations or CI/CD for AI/ML systems.

Proficiency with production software engineering and familiarity with tools such as Go, PostgreSQL, Redis, React, TypeScript, GCP, Terraform, Docker, or Datadog.

A bachelors degree or higher in computer science, engineering, or a related technical field, and experience delivering product improvements based on customer feedback.

Systems thinking, clear communication, and a pragmatic approach to shipping, technical debt, and ambiguous product problems; multimodal or enterprise workflow experience is a plus.

Compensation & Benefits

Base salary is $180,000 to $275,000 USD annually. Visa sponsorship is available.
Location

Remote within the United States, with San Francisco, California as the primary location.