The Role

As a Forward Deployed Engineer, you’ll deploy Medeloop’s systems and products into the customer’s cloud where their data sits, connect them to the tools their teams already use, and build bespoke clinical and research workflows on top, with our platform as the spine. You’ll work side by side with researchers, analysts, data engineers, and security teams, and you’ll own each deployment from the first scoping call to production. You’re the person who turns a first deployment into a lasting customer.

Key Responsibilities:

• Deploy Medeloop’s systems and products in each customer’s cloud with infrastructure as code and our deployment pipeline.
• Build the connectors and tools the agent calls, from lakehouse tables and internal APIs to EHR data over FHIR.
• Turn a team’s procedures, definitions, and business logic into agent workflows and playbooks on Medeloop’s products, so the agent works the way that team works.
• Define evaluations and launch criteria with the customer, test against answers their experts trust, and ship only when the workflow meets them.
• Scope each workflow with the customer, estimate the effort, build, test, take it live, and measure it against the success criteria you agreed on.
• Bring a security-first mindset to everything you build. You’ll work with sensitive patient data in a highly regulated environment under HIPAA, and you’ll walk customer security teams through private connectivity, access controls, and PHI handling, explaining precisely what stays in their environment and what returns.
• Turn custom builds into reusable connectors, playbooks, and platform features, and bring what you learn in the field back to product and engineering. Hold the line on one-off requests that won’t make the product better.
• Monitor the workflows you ship, fix what breaks when customer systems change, and improve them as usage grows.
• Join discovery and scoping conversations with our leadership, and help size the work before it’s priced.

Who You Are:

• Experience building scalable agentic systems that carry out long-horizon, multi-step tasks, and designing the evaluation frameworks that show they work reliably.
• Experience building with LLM APIs, including tool calling, MCP or similar protocols, prompt and workflow design, and evaluations.
• Deep, day-to-day fluency with coding agents such as Claude Code, Codex, and Cursor, and a track record of using them to ship high-quality code fast.