Senior Software Engineer, Integrations

Emploi pas sur LinkedIn

🕒 il y a 23 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 35%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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UpDoc

Site WebLinkedInTous les Emplois

11 - 50 employés

🏥 Santé

🤖 Intelligence artificielle

☁️ SaaS

💰 Seed en 2024-02

Healthcare • Artificial Intelligence • SaaS

UpDoc est une entreprise spécialisée dans l'intelligence artificielle clinique qui propose une plateforme logicielle de niveau entreprise, régie par des médecins, intégrée aux Dossiers de Santé Électroniques (EHR) et aux workflows cliniques, pour offrir des interventions continues basées sur des preuves entre les visites pour la gestion des maladies chroniques. La société met l'accent sur les capacités des modèles linguistiques de grande taille (LLM) homologués par la FDA, la surveillance des données structurées des patients, la coordination avec les équipes de soins, et l'intégration opérationnelle dans les systèmes de santé pour améliorer les résultats, l'adhérence et réduire les coûts. UpDoc est soutenu par des organisations de santé ainsi que par des partenaires pharmaceutiques et de défense des intérêts (par exemple, Mayo Clinic, Eli Lilly, American Diabetes Association).

Description

• Build and maintain integrations between UpDoc and third-party healthcare services, including electronic health record (EHR) systems • Own integration projects end to end, including technical discovery, scoping, development, testing, deployment, monitoring, and ongoing maintenance • Design and implement reliable internal and external APIs using modern, type-hinted Python • Develop backend services using FastAPI and Pydantic • Work with FHIR, HL7, and SMART on FHIR interoperability standards • Diagnose production integration issues by inspecting API payloads, healthcare data resources, application logs, and system traces • Resolve authentication, data-mapping, data-quality, and interoperability problems • Design integrations for network failures, duplicate events, retries, incomplete source data, and other edge cases • Work with hospital IT teams, implementation partners, healthcare vendors, and internal stakeholders to support deployments • Contribute to UpDoc’s patient-facing conversational agent and backend services supporting clinical AI workflows • Help build scalable, low-latency systems for conversational, voice, and multimodal experiences • Collaborate with clinical experts to ensure services are accurate, reliable, safe, and trustworthy • Write unit, integration, and end-to-end tests • Contribute to DevOps, infrastructure-as-code, CI/CD, containerization, monitoring, and observability • Participate in code reviews, architecture discussions, technical planning, and production troubleshooting • Document integration architecture, implementation decisions, operational procedures, and reusable patterns • Support HIPAA, SOC 2, privacy, security, and healthcare compliance requirements

🎯 Exigences

• At least 5 years of professional software development experience, including significant backend development experience • Strong professional experience with modern, type-hinted Python • Experience developing production APIs with FastAPI, Pydantic, or comparable Python technologies • Experience designing and implementing RESTful APIs • Strong understanding of HTTP, networking, caching, database design, authentication, and distributed systems • Experience integrating with third-party APIs and services • Extensive knowledge of software testing methodologies and practices • Experience troubleshooting complex technical problems in production environments • Experience with cloud platforms, particularly Azure • Experience with containerized applications • Familiarity with DevOps, infrastructure-as-code, CI/CD, and observability practices • Ability to build reliable, maintainable systems in an environment where safety matters • Strong written communication skills and comfort working in a distributed, async-first team • Demonstrated ability to learn continuously, work independently, and own projects end to end • Interest in improving healthcare through safe and thoughtfully designed technology • Highly desired: experience integrating with Epic or other major EHR platforms • Highly desired: hands-on knowledge of FHIR, HL7 v2, SMART on FHIR, or related healthcare interoperability standards • Highly desired: experience designing secure systems that handle protected health information • Highly desired: familiarity with HIPAA and SOC 2 requirements in a software environment • Highly desired: professional experience building end-to-end LLM-powered applications • Highly desired: experience integrating or optimizing language models in production • Highly desired: knowledge of LLM evaluation frameworks and MLOps or LLMOps practices • Highly desired: experience building AI infrastructure from zero to one • Highly desired: experience developing low-latency voice or multimodal applications • Highly desired: experience with model fine-tuning, alignment, prompt engineering, or AI safety systems • Highly desired: experience in an early-stage startup • Highly desired: experience working closely with clinicians or other healthcare subject-matter experts

🏖️ Avantages

• Fully remote position