Full Stack Engineer
What we're looking for?
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We need someone with 2+ years of professional experience in full\-stack engineering who has experience with AI\/LLM systems, ideally voice agents, agentic systems, or conversational AI. You should be comfortable with ambiguity, fast iteration, and wearing multiple hats, and have a track record of taking initiative and shipping quickly. Bonus points if you have founding or early engineer experience at early\-stage startups or a healthcare SaaS\/health\-tech background.
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What you'll do:
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- Drive the development of AI clinical agents for end\-to\-end care delivery.
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- Take ownership of full\-stack development across frontend, backend, and infrastructure.
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- Work closely with the founding team to build and iterate on core product features.
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- Develop and deploy real\-time systems, telephony, or voice processing solutions.
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- Lead initiatives to integrate with EHR systems and ensure HIPAA compliance.
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- Build and optimize systems that outperform residency\-trained medical staff in handling costly tasks.
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Tech stack <\/span>
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AI\/LLM systems, Voice Agents, Agentic Systems, Conversational AI, Full\-stack development, Frontend, Backend, Infrastructure, Real\-time systems, Telephony, Voice processing, EHR Integrations <\/span><\/span>
<\/div><\/span>Requirements <\/h3>
Seniority <\/b>
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1 \- 3 years of experience full stack engineering at a high growth start\-up.
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Work experience <\/b>
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Founding or early engineer experience at Seed to Series B stage startups (YC preferred). <\/span>
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Healthcare SaaS \/ health\-tech start\-up experience (e.g., Infinitus AI, Assort Health, Hello Patient, Retell AI, Commure). <\/span>
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Experience with EHR integrations or clinical workflows. <\/span>
Education <\/b>
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CS degree from a top 20 university (e.g., Stanford, MIT, Harvard, etc). <\/span>
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Hard skills <\/b><\/span>
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Experience with AI\/LLM systems, voice agents, or conversational AI. <\/span>
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Strong full\-stack engineering with a bias towards back end (70\/30 split). <\/span>
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Proficient in Typescript, React, Python, Kubernetes, and Redis. <\/span>
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Familiarity with HIPAA compliance and healthcare data standards. <\/span>
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<\/b> Miscellaneous <\/b>
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Strong interest in healthcare. <\/span><\/span>
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