Build and scale AI agents automating healthcare workflows. Lead complex feature development using JavaScript/TypeScript/Node.js, LLMs, and DevOps tools. Requires 4+ years experience and CS degree.
140k – 230k
On-site4+ YOEML Engineering
About the role
What You’ll Do
Work closely with engineering teams to tackle technical challenges in building efficient and scalable software, delivering quality features and a great customer experience
Lead the design, development, deployment, and iterations of complex features, collaborating with engineers, Product Managers, UX designers, and leadership
Enhance and evolve Commure’s product architecture
Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions
Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers
Keep current with emerging industry trends and technology to inform leadership and the Product Team
What You Have
B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
4+ years of experience in shipping enterprise-grade software products
Experience leading complex projects from start to finish and across multiple release cycles, including conceptualization, product integration, deployment, monitoring, and upgrade
Ability to write readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express)
Experience with LLM applications and RAG tooling (Gemini, GPT, VectorDB etc.)
Ability to collaborate with Product Management to clarify requirements, scope work, and drive product deliverables
Advanced understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, release management)
Experience with security tooling in SDLC and Security by Design principles
Qualifications (Bonus)
Experience with speech and dialog technologies (ASR, TTS, telephony)
Experience with event driven architecture/technologies (RabbitMQ, Kafka, BullMQ, etc)
Experience with ML and AI training frameworks (PyTorch, TensorFlow, etc.)
Experience with Nodejs build systems (rush, nx, vite, etc.)
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