Senior Software Engineer, AI

Job not on LinkedIn

🕒 July 28

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

UpDoc

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed on 2024-02

Healthcare • Artificial Intelligence • SaaS

UpDoc is a clinical AI company that provides an enterprise-grade, physician-governed software platform integrated with EHRs and clinical workflows to deliver continuous, evidence-based interventions between visits for chronic disease management. The company emphasizes FDA-cleared, patient-facing large language model (LLM) capabilities, monitoring structured patient data, coordinating with care teams, and operationally embedding into health systems to improve outcomes, adherence, and reduce costs. UpDoc is backed by healthcare organizations and pharmaceutical and advocacy partners (e. g. , Mayo Clinic, Eli Lilly, American Diabetes Association).

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance • Flexible work arrangements