Full Stack AI Engineer
Role details
Job location
Tech stack
Job description
- Collaborate with clinicians, product managers, and other engineers to identify high-impact AI use cases and bring them to life
- Rapidly prototype ideas using off-the-shelf tools like OpenAI, Hugging Face, LangChain, Pinecone, and anything else that helps us move fast
- Develop, optimize, and maintain AI agent workflows, ensuring high-quality interactions, scalability, and adherence to user safety standards
- Integrate AI workflows with backend API services and infrastructure, ensuring seamless deployment, robust performance, and clear observability
- Design and manage prompt engineering, evaluation, and optimization workflows
- Build out our internal AI stack and shape best practices - technically and ethically - as we scale
Requirements
We are looking for a talented AI Engineer who loves building impactful AI-powered products that meaningfully improve patient lives. You'll work across the AI product stack from research and model evaluation to backend integration and product UX. You'll have the opportunity to work directly with the CTO and CPO to design, deploy, and scale AI-driven features that power the future of Carda Health., * History of technical ownership for significant engineering projects
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Deep understanding of how LLMs and foundation models work under the hood
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2+ years of hands-on experience in AI-focused engineering roles, with a strong grasp of fundamentals including prompt engineering, retrieval-augmented generation (RAG), agents, and model evaluation
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5+ years of full-stack or backend-focused software engineering experience
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Fluency with APIs like OpenAI, Gemini, Claude along with open-source foundation models
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Familiarity with the intersection of audio processing and conversational AI
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Experience building and shipping software end-to-end in fast-paced environments
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Strong proficiency in Python
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Comfort with ambiguity and short feedback loops
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A passion for building products that make a real-world impact Bonus If You Have
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Experience with voice AI agents using WebRTC / Websockets with tools like LiveKit, Pipecat, or Daily
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Proficiency in data mining, statistical analysis, and predictive modeling algorithms
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Familiarity with cloud services like AWS or Google Cloud, particularly for deploying and scaling AI-powered applications
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Experience working with HIPAA compliant applications and healthcare data (FHIR, HL7, clinical notes, etc.)