Staff Forward Deployed Engineer
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Job Description
Staff Forward Deployed Engineer building AI-powered client integrations for OpenLoop’s telehealth infrastructure. Creating reusable SDKs, agents, API tooling, and deployment practices across U.S. virtual care.
Responsibilities:
- Embed with client engineering teams and build integrations in their codebases against OpenLoop's Partner API
- Own client integration outcomes through go-live and the following weeks
- Identify platform gaps, file them with representative endpoints, and document time-boxed workarounds when necessary
- Design and ship backend and frontend systems enabling client development with AI in the loop
- Build SDKs, reference implementations, CLIs, machine-readable documentation, and agentic API workflows
- Design human review, pre-launch evaluations, and post-launch monitoring for AI solutions
- Own the deployment agent roster, including readiness gates, conformance checks, seeding checkers, documentation freshness, gap filing, and communication drafts
- Convert client-specific needs into reusable recipes, checks, manifests, impact analysis, API conventions, and roadmap evidence
- Turn ambiguous or over-promised client requests into phased, defensible scopes
- Prevent breaking changes to live clients through checks, manifests, compatibility windows, and proposal processes
- Serve as the technical voice with client engineering leadership, platform teams, and sales
- Mentor FDEs and deployment strategists and help develop the deployment playbook
Requirements:
- 10+ years of software engineering experience, including significant time delivering directly for external customers or partners in their environments
- Proven end-to-end ownership of complex, customer-facing technical deliveries
- Strong integration engineering depth: API design and consumption, authentication, webhooks versus polling, idempotency, rate limits, pagination, schema drift, reconciliation, and cloud infrastructure
- Daily experience building with AI agents, verifying their output, evaluating LLM-based systems, and identifying when to stop trusting them
- Experience handling sensitive data with a security-first mindset
- Excellent communication with technical and non-technical audiences
- Demonstrated judgment about scope, including descoping, sequencing, or declining work
- Evidence of leverage through SDKs, tooling, checks, reference implementations, or practices
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience (preferred)
- Preferred: healthcare or regulated-domain experience
- Preferred: production experience shipping LLM-based or agentic systems
- Preferred: developer-platform experience with SDKs, CLIs, API conventions, and tested documentation
- Preferred: familiarity with EHR, scheduling, pharmacy, or payments integrations; FHIR is a plus
- Preferred: experience with sales or solutions teams in pre-sales technical conversations
Benefits:
- Medical, Dental, and Vision plans
- Flexible Spending/Health Savings Accounts
- Flexible PTO
- 401(k) + Company Match
- Life Insurance
- Pet insurance
- Periodic travel to clients and team working sessions
- Flexible client-facing work outside core collaboration hours when required
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