Forward Deployed Engineer

About the role

Simbie AI automates the 1.5–2 hours of clinical judgment work physicians do outside visits — labs, patient calls, refills, post-op check-ins, pre-visit intake. We're the first platform executing AI workflows requiring real clinical judgment, embedded directly in EHRs.

Responsibilities

• Own customer deployments end-to-end
• Lead technical scoping, build, and go-live for medical practice implementations
• Configure and deploy production AI agents tailored to each customer's specialty, workflows, and patient population
• Build EHR integrations across FHIR and HL7 interfaces
• Launch agents that handle thousands of real patient interactions daily
• Solve gnarly integration problems
• Debug live issues across phone systems, EHRs, scheduling platforms, and patient engagement tools
• Architect solutions for healthcare's real complexity — insurance verification, appointment rules, clinical protocols
• Build tooling and automation that makes every future deployment faster and more reliable
• Optimize agent performance in production using real-world data and customer feedback
• Shape the product from the field
• Partner directly with Product Engineering to influence platform direction based on what you learn on the ground
• Identify patterns across implementations that become repeatable product features
• Work with Sales to scope technical requirements and demo capabilities to prospects
• Be the voice of the customer — you see what works, what doesn't, and what's actually needed

Requirements

• 3+ years of software engineering with a track record of shipping production code
• Proficiency in Python; comfortable reading and writing across the stack
• Strong experience with APIs, third-party integrations, and working across multiple systems
• Excellent communication — you can explain a gnarly integration issue to a physician or an ops director
• Comfortable with ambiguity; you build forward when the path isn't clear
• Scrappy and resourceful — you find a way, not an excuse
• Genuine interest in healthcare and improving patient access

Qualifications

• Experience with EHR systems or practice management platforms
• Familiarity with FHIR, HL7, or healthcare data standards
• Previous customer-facing engineering, solutions engineering, or implementation work
• Experience with AI/LLM applications or agent development
• Familiarity with voice/telephony systems (Twilio, etc.)
• Experience working with enterprise or regulated-industry customers