Applied AI Engineer
Level, Austin, TX
What you will do
- Ship production agentic systems- Design and build agents and agentic workflows that solve a defined problem end to end. You own prompts, tools, retrieval, guardrails, observability, cost and latency budgets, and rollout.
- Provide governance and security guidance surrounding AI designs, strategy, and usage.
- Automate SME workflows- Identify high-leverage operational toil (review pipelines, content QA, labeling and ops loops, support triage, internal copilots) and partner with the SMEs running those workflows to define success criteria, validate outputs, and replace meaningful chunks of that work with AI systems they trust. SMEs are co-owners of quality from the start of the project.
- Make AI features safe- Treat what you deliver as a regulated product. Design for relevant compliance frameworks (e.g., COPPA, FERPA, NIST CSF 2.0) from day one, run safety and bias evals before launch and continuously after, and build the human-in-the-loop and content-filtering controls AI features need before they reach end users.
- Hand off what you ship- Production features leave your hands with documentation, runbooks, an eval harness, and dashboards.