Senior AI Full-Stack Engineer: Genomics & LLM Systems

SOPHiA GENETICS; Bidart; Hybrid; EUR 79,000 - 151,000; Full time

Benefits offered by this job

Meal vouchers

Free parking

Social committee

Hybrid work arrangement

Job summary

SOPHiA GENETICS in Bidart, FR (Hybrid, 3 days onsite) seeks a Senior AI Software Engineer to strengthen our Engineering Hub. You will ship full-stack product features and bring hands-on experience with production LLM applications to the team.

Your first flagship project will draft evidence-grounded gene and variant descriptions for clinical interpreters, with sources and citations, guiding rigorous reviews and regulatory alignment.

Qualifications

• 5–7 years building and releasing reliable web-based services to production.
• Bachelor's degree in Computer Science / Engineering, or equivalent.
• Strong Java and SQL with microservice architecture.
• Frontend experience with React and modern JavaScript.
• Containerization and orchestration with Docker and Kubernetes.
• CI/CD pipelines and production-grade deployments.
• Hands-on with production LLM applications—RAG pipelines or evaluation.
• Experience using AI tooling in the SDLC.

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 engineering quality.
• Prototype fast and iterate to reliable software.
• Collaborate with Product, QA, Architecture and PMO to align delivery with product vision and regulatory needs.
• Build LLM-based features and ensure proper provenance and citations.

Skills

Java

SQL

React

Microservices

Docker

Kubernetes

CI/CD

Mentoring

LLM apps

AI tooling in SDLC

Education

Bachelor's degree in Computer Science / Engineering

Tools

Azure AI Foundry

GraphQL

Grafana

Loki

Job description

SOPHiA GENETICS in Bidart, FR (Hybrid, 3 days onsite) seeks a Senior AI Software Engineer to strengthen our Engineering Hub. You will ship full-stack product features and bring hands-on experience with production LLM applications to the team.

Your first flagship project will draft evidence-grounded gene and variant descriptions for clinical interpreters, with sources and citations, guiding rigorous reviews and regulatory alignment.