Senior AI Software Engineer

Senior Ai Software Engineer Do you like hard technical challenges solved with modern technology - cloud, microservices, and applied AI/LLM systems? Join our team to use develop and deliver web modules and microservices for a globally distributed platform that connects hospitals and labs. You'll focus on genomics interpretation, data processing, and analysis, using AI to contribute to our SaaS platform that transforms how complex healthcare data is shared and utilized. If this sounds like you and you are driven by purpose, join the SOPHiA GENETICS Software Engineering team as our new Senior AI Software Engineer, and enable us to make a positive impact on the outcomes for cancer and rare disease patients worldwide. This is a hybrid opportunity, requiring 3 days onsite our corporate office in either Bidart, FR, Rolle, CH or Boston, MA. Please ensure that all CV/Resumes are submitted in English as we are an international company that uses English as our language of business. Our Mission We believe there is a smarter, more data-driven way to make decisions in healthcare and our cloud-native AI powered SOPHiA DDM Platform makes that vision a reality on a daily basis. You will have direct input to our mission to democratize data-driven medicine for the ultimate benefit of cancer and rare disease patients across the globe. Your Mission We are looking for a Senior AI Software Engineer to strengthen our Engineering Hub — a small, nimble team that takes new product ideas from 0 to 1. You will be a builder and a mentor: shipping full-stack product features, and bringing hands-on experience with production LLM applications so the whole team levels up. Your first flagship AI project will draft evidence-grounded gene and variant descriptions, with sources and citations, for clinical interpreters to review. The value you bring: Product engineering 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 fast and iterate — take early ideas to working, reliable software. Collaborate with Product, QA, Architecture and PMO to align delivery with product vision and regulatory needs Applied AI / LLM Build retrieval-augmented generation (RAG) 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: graders and evaluation pipelines that score accuracy, relevance and grounding, plus guardrails that verify citations resolve and are relevant. Use managed LLM endpoints on Azure AI Foundry effectively (caching, tools, structured output), and share these practices with the team. SOPHiA GENETICS