About UpDocAt UpDoc, we are building the worlds 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 <a target="_blank" href="https://updoc.ai/">here</a>.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 AreYou’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 Youll Do<ul><li>Lead the development of our patient-facing conversational agent</li><li>Implement a scalable, low-latency system for voice/multimodal conversations</li><li>Implement rigorous prompt engineering processes and develop useful metrics for system evaluation</li><li>Identify where fine-tuning and alignment might be valuable, and create data pipelines to enable fast experimentation</li><li>Work with other backend engineers to deploy AI models and chat/voice APIs</li><li>Help identify, evaluate, and implement emerging LLM technologies, tools and frameworks</li><li>Collaborate with clinical experts to validate performance and medical accuracy</li><li>Work on developing backend services using FastAPI and Pydantic</li></ul>What You’ll Need<ul><li>5+ years of professional software development experience, including 2+ years of experience with backend web development</li><li>Experienced and comfortable working with type-hinted, modern Python</li><li>2+ years of experience building end-to-end LLM applications, personally or professionally<ul><li>Experience integrating/optimizing LLMs in production environments</li><li>Knowledge of evaluation frameworks</li><li>Knowledge and experience with MLOps/LLMOps best practices</li><li>Experience building AI infrastructure from 0 -&gt; 1</li></ul></li><li>Experience with cloud platforms (especially Azure) and containerization technologies</li></ul>Highly Desired<ul><li>Professional experience building end-to-end LLM-powered applications</li><li>Experience with model fine-tuning/alignment</li><li>Experience in an early stage startup environment</li><li>Experience with healthcare industry standards, such as FHIR, and regulations, including HIPAA and SOC 2</li></ul>Why You Should Join Us<ul><li>Join a small, high-impact team building the future of healthcare</li><li>Work with cutting-edge LLM tools that support world-class medical institutions</li><li>Shape core technical architecture in an emerging field</li><li>Competitive compensation and equity in an early-stage startup</li></ul>Interview Process<ol><li>Application form</li><li>Conversation with our CTO</li><li>Technical interviews: <ol><li>Coding interview focused on a real-world application relevant to the role (e.g., LLMs, backend engineering) </li><li>Architecture/whiteboarding interview focused on discussing general application-design relevant to the role</li></ol></li><li>Conversation with our CEO</li></ol>

WindBorne Systems

Senior Software Engineer, AI - UpDoc

WindBorne Systems