About UpDoc
At UpDoc, we are building the world's first clinically validated, physician-supervised conversational agent that manages chronic diseases; the first step towards a true "AI doctor". With partners including Stanford, Mayo Clinic, Eli Lilly, UCSF Health, and Microsoft, UpDoc is working to build a future where all patients can access high-quality, high-touch care. Learn more about us here.
We are seeking a talented and motivated senior engineer to join our team. You will primarily work on UpDoc’s patient-facing conversational agent. This is a fully remote position.
Who You Are
You’re an experienced senior engineer with a backend tilt. You’re well-versed in all things web and have experience building LLM applications end-to-end, even if not in a professional context. You follow the AI/LLM space closely, play with new technologies as they come out, and are excited to use these technologies to build safe, reliable medical AI systems.
What You'll Do
Lead the development of our patient-facing conversational agent
Implement a scalable, low-latency system for voice/multimodal conversations
Implement rigorous prompt engineering processes and develop useful metrics for system evaluation
Identify where fine-tuning and alignment might be valuable, and create data pipelines to enable fast experimentation
Work with other backend engineers to deploy AI models and chat/voice APIs
Help identify, evaluate, and implement emerging LLM technologies, tools and frameworks
Collaborate with clinical experts to validate performance and medical accuracy
Work on developing backend services using FastAPI and Pydantic
What You’ll Need
5+ years of professional software development experience, including 2+ years of experience with backend web development
Experienced and comfortable working with type-hinted, modern Python
2+ years of experience building end-to-end LLM applications, personally or professionally
Experience integrating/optimizing LLMs in production environments
Knowledge of evaluation frameworks
Knowledge and experience with MLOps/LLMOps best practices
Experience building AI infrastructure from 0 -> 1
Experience with cloud platforms (especially Azure) and containerization technologies
Highly Desired
Professional experience building end-to-end LLM-powered applications
Experience with model fine-tuning/alignment
Experience in an early stage startup environment
Experience with healthcare industry standards, such as FHIR, and regulations, including HIPAA and SOC 2
Why You Should Join Us
Join a small, high-impact team building the future of healthcare
Work with cutting-edge LLM tools that support world-class medical institutions
Shape core technical architecture in an emerging field
Competitive compensation and equity in an early-stage startup
Interview Process
Application form
Conversation with our CTO
Technical interviews:
Coding interview focused on a real-world application relevant to the role (e.g., LLMs, backend engineering)
Architecture/whiteboarding interview focused on discussing general application-design relevant to the role
Conversation with our CEO
John Deere
John Deere
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