Backend Engineer (FDE)

AustinWorks

San Francisco (CA)

Hybrid

USD 150,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

Equity
Visa sponsorship

Job summary

AustinWorks seeks a Forward Deployed Engineer to own enterprise deployments for Healthcare AI, guiding technical scoping through production launch.

You will build integrations with APIs, EHRs, scheduling platforms, and telephony, and develop backend workflows tailored to each client. This hybrid, customer‑facing engineering role emphasizes strong CS fundamentals and collaboration with product and engineering teams.

Qualifications

  • 1–6 years of software engineering experience.
  • Backend or full-stack developer with API and third‑party integrations.
  • Strong CS fundamentals; CS/CE degree preferred.
  • Excellent communication and customer-facing skills.
  • Experience in healthcare deployments is a plus.

Responsibilities

  • Own enterprise deployments from discovery to go-live.
  • Build production integrations with APIs, EHRs, scheduling, telephony.
  • Develop backend and full-stack workflows for each customer.
  • Debug production and integration issues.
  • Deploy and optimize AI agents for patient interactions.
  • Create reusable tooling for future deployments.
  • Collaborate with Product and Engineering on platform improvements.
  • Work with technical and nontechnical customer stakeholders.

Skills

Software engineering
API development
Backend
Full-stack
Customer-facing
CS fundamentals

Education

Bachelor's degree in CS/CE
CS/CE degree

Tools

APIs
EHR integrations
Scheduling systems

Job description

Forward Deployed Engineer — Healthcare AI

Location: San Francisco or New York

Compensation: $150K–$215K base + equity

Work Style: Hybrid, 4 days/week in office

Visa: Sponsorship and transfers available

About the Company

We’re partnering with a rapidly growing, well-funded healthcare AI company building production AI agents for some of the largest healthcare organizations in the country. Their platform automates complex patient workflows across voice, text, and chat — including scheduling, intake, referrals, outreach, and other administrative processes.

The company has raised $200M+ from top-tier investors, is experiencing significant revenue growth, and its technology already supports hundreds of millions of patient interactions.

The Role

They’re hiring Forward Deployed Engineers to own enterprise customer deployments from technical scoping through production launch and optimization.

You’ll work directly with healthcare organizations to understand their workflows and then build the integrations, backend systems, and AI-powered solutions required to deploy the platform successfully. This is a highly technical FDE role — closer to a customer-facing software engineer than a traditional Solutions Engineer.

What You’ll Do
  • Own enterprise implementations from technical discovery through go-live
  • Build production integrations with APIs, EHRs, scheduling platforms, telephony systems, and other third-party tools
  • Develop custom backend and full-stack workflows around each customer's requirements
  • Debug complex production and integration issues
  • Deploy and optimize AI agents handling real-world patient interactions
  • Build reusable tooling and infrastructure that accelerates future deployments
  • Partner with Product and Engineering to turn customer needs into platform improvements
  • Work directly with technical and nontechnical customer stakeholders
Ideal Background
  • 1–6 years of software engineering experience
  • Backend or full-stack engineering backgroundExperience building APIs and integrating complex third-party systems
  • Strong CS fundamentals and ideally a Computer Science / Computer Engineering degree
  • Strong communication skills and genuine interest in working directly with customers
  • Experience at a high-growth startup or in an FDE / Solutions / Implementation Engineering environment is highly valued
  • Healthcare, EHR, telephony, or enterprise implementation experience is a plus, but not required
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