Senior Full-Stack Software Machine Learning Engineer

Do you like hard technical challenges solved with modern technology - cloud, microservices, and applied AI/LLM systems? Join our team to 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.

This is a hybrid opportunity, requiring 3 days onsite at our corporate office in either Bidart, FR, Rolle, CH or Boston, MA.

Please ensure that all CV/Resumes are submitted in English.

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.

• 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.

• 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.

• 5–7 years building and releasing reliable web‑based services to production.
• Back‑end: strong Java and SQL, microservice architecture. Front‑end:
  React and modern JavaScript.
• Containerization and orchestration (Docker, 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 SDLC (AI‑assisted coding, review, documentation).
• Strong communication and a real appetite for mentoring.
• Bachelor's degree in Computer Science / Engineering, or equivalent professional experience.

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

• Sickness and Accident coverage through Helsana.
• Meal Vouchers at 90
  
  CHF PM with our partner cafeteria.
• A fun and engaging work environment, with Rest & Entertainment space, full stocked free coffee machine and free fruit/snacks.
• Free parking in an easy to access location.
• A strong social committee whose purpose is to make SOPHiA GENETICS both enjoyable as well as rewarding.
• As our global HQ, you’ll have direct interaction and exposure to senior leadership and our executive team locally.

Start Date:

ASAP

Location:

Bidart, FR or Rolle, CH or Boston, MA (Hybrid, 3 days onsite)

Contract:

Permanent

MA Pay Range
: USD 88,

Disclaimer:
The estimated pay range represents a good faith estimate of what the Company expects to pay a successful applicant for the listed position and applies specifically to candidates based in Massachusetts. Due to various factors, the estimated pay range may vary in other locations. Should the level or location of the role change during the hiring process, the applicable base range may be updated accordingly.

Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, job related skills, years of experience, location, relevant education or training, internal equity, and alignment with market data. The range does not include benefits, and if applicable, bonus, commission, or equity.