Forward Deployed Engineer
CAJobPosted 6 days agoStill listed 6 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near California, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
The Forward Deployed Engineer deploys Medeloop’s systems in customer cloud environments, connects them to existing tools, and builds clinical and research workflows. The role owns deployments from scoping through production, working with customer researchers, analysts, data engineers, and security teams. It also turns custom implementations into reusable product capabilities and monitors and improves workflows after launch.
Skills & qualifications
Skills
Full job description
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.
- Hands-on experience with major cloud providers and their infrastructure.
- Experience with data lakehouses and warehouses.
- An extremely clear communicator, in writing and in person, with technical and non-technical audiences alike.
- Confidence in a room with a researcher, a data engineer, and a CISO, and the ability to turn ambiguous requests into scoped, shippable work.
- Comfort with autonomy and ambiguity, the judgment to move fast without cutting corners on security, and a willingness to travel to customer sites.
- Fearlessness about learning, with the eagerness to dive into bespoke workflows and niche concepts you’ve never seen before and to take on ambitious projects outside your past experience.
- Nice to have: Experience with EHR, claims, OMOP, or FHIR data, and work under HIPAA or in another highly regulated deployment environment; forward-deployed, solutions, or implementation engineering, ideally at a startup; and containers and sandboxing. A clinical or healthcare background is not required.
Why Medeloop
- Ownership from day one: small team, high-trust, no layers between your work and its impact
- Technically ambitious: you'll build AI-powered workflows, not just support them
- Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
- Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Security Engineer, GPU Kernel DriverNVIDIA · Remote · US · $152–242K/yrPosted 2w agoPosted 2w ago- DevSecOps Engineer24 Hour Home Care - Corporate Division · CA · $130–160K/yrPosted 4 days agoPosted 4 days ago
- Security Engineer24 Hour Home Care - Corporate Division · CA · $120–150K/yrPosted 4 days agoPosted 4 days ago
Staff MEMS EngineerAEye · Pleasanton, CA (Hybrid) · $175–200K/yrPosted 4 days agoPosted 4 days agoSenior iOS EngineerCVS Health · Remote · US · $102–204K/yrPosted 1w agoPosted 1w ago
You've read the whole posting — now see how you match it.