Software Engineer, Voice AI

Note: This role is not for Fomog, but our client, 2care.AI
About 2care.ai

2care.ai builds clinically safe AI workers that automate healthcare administration. Our Voice AI agents answer patient calls, schedule appointments, manage referrals, and handle follow-ups, integrating directly with EHRs and hospital systems. Clinics use us to automate up to 90% of front-desk operations, cut missed calls, and recover lost revenue. Everything we build runs in production and is used by real clinics and hospitals every day.

The Role

We're looking for a builder, someone early in your career but hungry to own real systems. You'll design, build, deploy, and improve Voice AI agents that handle live patient conversations, working across our web platform, backend services, and cloud infrastructure. You won't be handed narrow tickets. You'll own features end to end, ship fast, and see your work go live in clinics within days.

We care far more about how you think, learn, and take ownership than about years on a résumé.

What you'll do

• Build and ship features across our production platform: frontend, backend, and infrastructure.
• Develop and improve Voice AI agents that manage real patient calls: conversation flows, interruption handling, retries, and escalation logic.
• Build backend services and APIs, and integrate EHRs, practice management systems, calendars, and third-party APIs.
• Work with LLMs (prompting, tool calling, and conversation state) to make agents reliable and safe.
• Deploy and maintain services on the cloud, and improve logging, monitoring, and evaluation so we catch issues before customers do.
• Debug live call flows: audio quality, speech-to-text/text-to-speech, API failures, and infra bottlenecks.
• Own customer deployments end to end and work directly with founders and customers.
  

What we're looking for

• 2 to 3 years of software engineering experience (strong internships and projects count).
• Solid fundamentals in at least one of TypeScript/JavaScript or Python, and willingness to work across both.
• Comfort with backend APIs, databases, and building things that talk to other systems.
• Strong debugging instincts and the ability to work through ambiguous problems.
• A bias for shipping, learning new tech quickly, and owning what you build.
• Bonus: exposure to LLMs/AI agents, real-time/streaming systems, telephony, or cloud infrastructure.

You do not need prior Voice AI experience. If you're a fast learner who ships, we'll teach you the rest.

Why join us

• Build AI products used by real clinics and hospitals from day one.
• Own production systems and ship fast, with minimal bureaucracy.
• Work directly with the founders and grow as the company grows.
• Solve genuinely hard Voice AI problems in a high-stakes domain.