The company is an early AI-focused team building the systems layer for a process intelligence platform.
You will turn complex enterprise data into dependable product features that run on hosted AI models.
Responsibilities
Build and run production AI services and pipelines covering retrieval, context building, model choice, structured extraction, and orchestration.
Create evaluation sets, benchmarks, regression tests, guardrails, and fallback logic to measure and raise AI quality.
Watch production systems and fix problems with latency, cost, failures, and reliability.
Follow the full path from customer data to generated output, and refine features based on customer feedback.
Decide when to build versus buy and when to refactor, and take projects from design through deployment and monitoring.
Requirements
Four or more years of experience in applied AI, machine learning, or production software engineering, including ownership of shipped systems that customers use.
Strong Python, experience with asynchronous services, and familiarity with a typed language such as Go, C++, Java, Scala, or C.
Hands-on work with hosted LLM APIs, retrieval-augmented generation, vector search, structured outputs, or agent orchestration.
Experience building AI evaluations or benchmarks and improving systems through regression testing, human review, or other quality checks.
Ability to reason across data pipelines and user-facing behavior end to end, and to explain things clearly to customers.
Experience shipping product and acting on customer feedback, ideally at an early-stage or fast-moving company.
A bachelor's degree or higher in computer science, engineering, or a related technical field.
Tools and technologies you will use include PostgreSQL, Redis, GCP, Terraform, Docker, Datadog, React, TypeScript, and AI model APIs.
Helpful but optional: experience with enterprise documents, multimodal inputs, or process and workflow systems.
Conditions
Base salary is $180,000 to $275,000 USD per year.
Visa sponsorship is available.
This role is on-site in San Francisco, California.