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
Top Skills
What We Do
We’re specialists in pre-seed and seed. The startups we back go far. Best-in-class founders do not come around every day. When they do, we jump at the opportunity to work together. Our approach is to work with just a small number of best-in-class founders so we can dig in and go deep.
