Senior AI Software Engineer

SOPHiA GENETICS; France; Hybride; EUR 76 000 - 146 000; Plein temps

Avantages offerts par ce poste

Sickness and Accident coverage

Meal Vouchers

Free coffee machine & fruit/snacks

Free parking

Engaging work environment

Interaction with senior leadership

Résumé du poste

SOPHiA GENETICS is seeking a Senior AI Software Engineer to strengthen the Engineering Hub. You will ship full-stack product features, mentor junior engineers, and lead production LLM applications, including evidence-grounded gene and variant descriptions with citations for clinical interpreters.

The role emphasizes craftsmanship in modern web services, RAG pipelines, and structured outputs, with a hybrid setup (onsite 3 days) across Bidart, Rolle, or Boston.

Qualifications

• 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 evidence of quickly learning new areas to production.
• Experience using AI tooling in the SDLC (AI-assisted coding, review, documentation).
• Strong communication and mentoring.
• Bachelor's degree in Computer Science / Engineering, or equivalent professional experience.

Responsabilités

• 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 engineering quality.
• Prototype fast and iterate — turn ideas into 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 and grounding.
• Use managed LLM endpoints on Azure AI Foundry effectively and share practices with the team.

Connaissances

Java

SQL

React

JavaScript

Docker

Kubernetes

CI/CD

LLM applications

RAG pipelines

LLM evaluation

Mentoring

Formation

Bachelor's degree in Computer Science / Engineering

Outils

Docker

Kubernetes

Azure AI Foundry

GraphQL

Description du poste

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’llfocus on genomics interpretation, data processing, and analysis,using AI to contribute toourSaaS platform that transforms how complex healthcare data is shared andutilized.

If this sounds like you and you are driven by purpose, join the SOPHiA GENETICS Software Engineering team as our newSenior 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.

Requirements

Must have

• 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.

Strong plus

• 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 DevOps.
• Experience in genomics, digital healthcare, or another regulated domain.

Benefits

You will be joining an organization with the patient at the heart of every decision and action, driven by purpose as we pursue exponential growth.

Business recognition and accolades include:

• World's most innovative companies (Top 10)
• World's smartest companies (Top 50)
• 100 Best Places to Work in Boston
• Top 10 European Tech Startup
• Top 10 European biotechs startup to watch
• Top 25 East-Coast Biotech to watch

Our benefits package is comprehensive, but varies internationally in-line with local standards and laws. You can discuss a full breakdown with us, but as a brief overview:

• Sickness and Accident coverage through Helsana
• Meal Vouchers at 90CHF 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

Our DNA

Like the strands of DNA itself, SOPHiA GENETICS and the team are deeply interconnected and reliant on each other to deliver. There are common threads across the team. Things that bind us together. Those things are Relentless Curious; Resilient & Nimble and Fearlessly Adventurous

Our Virtues

At SOPHiA GENETICS we established our 7 Virtues to clarify how our principles show up each day through action. We Decide; We Do; We Collaborate; We Innovate; We Empower; We Adapt and We Learn.

At the centre of our Virtues is our Mantra, We Care, which provides a constant reminder of the compassionate, benevolent, and hopeful nature of our mission and how it should be threaded through each of our Virtues and everything we do. Learn more about our DNA and Virtues on our Careers portal

The Process

We use the power of AI to help our partners make decisions. If you’re utilising AI in your search and application process, why not use some of these prompts, or read our AI guide.

‘What impact can I expect to have on the world by working at SOPHiA GENETICS?’

‘I have an interview with SOPHiA GENETICS. What should I know before I meet with them?’

‘I am a *job title* - What can SOPHiA GENETICS offer my career?’

Suitably qualified candidates will be invited through an interview and screening process where you will speak with members of our Talent Acquisition Team, the hiring leader alongside key colleagues and stakeholders from across the business.

If you need additional support or accommodations for accessibility, please contact our TA team for assistance on [e-mail]. SOPHiA GENETICS recruiters only contact candidates from @sophiagenetics.com addresses and never request payment at any stage. Verify any offer before responding.

We appreciate the value external partners can bring, but we operate a direct-hiring model and we are not looking to utilize agency support at this time. All hiring is controlled by Talent Acquisition, potential partners should liaise through TA and not our hiring teams please.

Start Date: ASAP

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

Contract: Permanent

MA Pay Range

USD 88,000 - 168,000

Disclaimer:The estimated pay range represents a good faithestimate of what the Company expects to pay a successful applicant for the listed position andappliesspecificallyto 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.