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SOPHiA GENETICS

Cloud-based AI platform for genomic analytics

Full Stack Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time$88k - $168k

About the Job

Requirements

  • At least 5 years building and releasing reliable web-based services to production.
  • Strong Java and SQL skills, microservice architecture, React, and modern JavaScript.
  • Experience with containerization and orchestration using Docker and Kubernetes, and CI/CD.
  • Hands-on experience with production LLM applications, specifically RAG pipelines and/or LLM evaluation, or clear demonstrable evidence of rapidly self-learning new technical areas to production quality.
  • Experience using AI tooling in the software development lifecycle, including AI-assisted coding, review, and documentation.
  • A bachelor's degree in Computer Science or Engineering, or equivalent professional experience.

Responsibilities

  • Design, build, test, deploy, and maintain full-stack web features and microservices, owning components end to end.
  • Lead code and design reviews, mentor junior engineers, and raise the team's engineering quality.
  • Prototype quickly and iterate, taking early ideas to working, reliable software.
  • Collaborate with Product, QA, Architecture, and PMO to align delivery with product vision and regulatory needs.
  • Build retrieval-augmented generation pipelines over curated clinical data sources and internal databases.
  • Design system and task-specific prompts, structured output, and provenance/citation handling.
  • Build LLM evaluation into the product, including graders and evaluation pipelines that score accuracy, relevance, and grounding, and guardrails that verify citations resolve and are relevant.
  • Use managed LLM endpoints on Azure AI Foundry effectively, including caching, tools, and structured output, and share these practices with the team.

Desired Qualifications

  • Prompt engineering, structured/JSON output, and reasoning about faithfulness, calibration, and hallucination.
  • Experience with Azure AI Foundry or equivalent managed inference platforms, and prompt caching.
  • GraphQL, observability tools such as Grafana and Loki, and modern DevOps.
  • Experience in genomics, digital healthcare, or another regulated domain.

About the Company

SOPHiA GENETICS

Cloud-based AI platform for genomic analytics

Sophia Genetics provides a cloud-based platform called SOPHiA DDM that uses AI and machine learning to analyze digital health data, especially genomic profiles, for healthcare providers, researchers, and pharma companies. It standardizes, computes, and analyzes multimodal data to support diagnosis, therapy selection, analysis, and drug development. Customers own their data and can share insights through the platform, contributing to collective intelligence. The platform is charged on a subscription or access basis, creating a global data-driven medicine ecosystem. The company differentiates itself by enabling data ownership for users, facilitating data sharing among institutions, and handling complex multimodal genomic data to drive better patient outcomes.

Company size
501-1,000
Company stage
IPO
Headquarters
Saint-Sulpice, Switzerland
Founded
2011

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