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# Full Stack Software Engineer

- **Company:** SOPHiA GENETICS
- **Location:** Bidart, France
- **Experience:** Expert
- **Salary:** €88,000 - €168,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Software as a Service, Continuous Integration, EHealth, JSON, Systems Development Life Cycle, SQL Databases, Software Technical Review, Data Processing, ReactJS, Evaluation Pipelines, Large Language Models, Grafana, Prompt Engineering, Hallucination Detection, Backend, Containerization, Kubernetes, Information Technology, Graphql, Front End Software Development, Evaluation of Large Language Models, Docker, Microservices
- **Published:** October 30, 2026
- **Apply:** https://apply.workable.com/sophia-genetics/j/5282592E1F

## About the Role

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

## Description

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., * 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., 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.