Senior Staff Applied AI Engineer

Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states. OpenLoop is building the future of healthcare infrastructure. We are hiring a Senior Staff Applied AI Engineer to be one of the first technical leader for AI at OpenLoop . As one of the earliest hires, the decisions you make become the foundation everyone else builds on: how our AI agents run, how we prove they are good, how we keep them safe and affordable, and how other teams build agents on our platform. Agent Runtime & Orchestration: Set the technical direction for how agents run, call tools, hold context and hand off work, including failure handling, retries, timeouts and sandboxing. Build the systems that prove our AI is actually good, including regression tests and AI-graded evals, and help each team define what "good" means for their agents. Observability & Cost: Trace what agents did and why, monitor behavior in production, and attribute AI spend to each agent and use case with budgets and guardrails. Connect agents to real, messy company data and documents through retrieval (RAG), context design and prompt engineering, so answers are based on facts. Security, Privacy & Safety: Keep patient data (PHI) protected in every AI system, control what agents can access, and defend against misuse such as prompt injection. Cloud & Data Foundations: Make sound infrastructure decisions on GCP and partner with the Data Platform teams who provide the governed data agents use. Technical Leadership: Set and document direction when the right answer is unclear, make build-versus-buy calls and revisit them as tools change, keep the platform general enough for many teams, and mentor engineers who are new to AI through code and design review. Cross-functional Work: Explain AI trade-offs in plain language to product, operations and clinical stakeholders, including when the honest answer is "the AI isn't ready for this yet." Bachelor's degree in Computer Science, Engineering, or a related technical field Proven Technical Leadership: 12+ years of software engineering experience, with a track record at tech lead, staff or principal-level scope. Production LLM Experience: 2+ years building and running LLM-based systems in production that real users relied on, not only demos, prototypes or personal projects. Core AI Depth: Deep, hands-on expertise in agent runtime or evaluation, a second area of real depth, and working knowledge across the rest of the AI engineering stack. A track record of measuring AI quality with real evaluation sets and test harnesses, and reporting results with numbers. Experience leading a small team's technical direction from zero, or close to it, in a greenfield setting. Excellent communication skills with the ability to explain complex technical concepts and trade-offs to non-technical stakeholders Built a platform used by other engineering teams. Helped grow a single pod into multiple teams. Medical, Dental, and Vision plans Flexible Spending/Health Savings Accounts Flexible PTO Life Insurance, Pet insurance, and more