Teams at Calliere

Build and support complex features across C#/.NET back-end services and React front ends. Responsibilities include technical design, API and data modeling, secure and tested coding, production troubleshooting, code reviews, mentoring, documentation, and improving engineering practices. Collaborate with Product, QA, DevOps, Technical Leads, and architecture teams while balancing delivery, maintainability, performance, accessibility, observability, and security.

Design and deploy production AI/ML systems, including data pipelines, RAG systems, agentic workflows, model integrations, APIs, observability, evaluations, guardrails, and cost optimization. Collaborate with product, design, and client stakeholders while contributing to architecture, code reviews, testing, deployment, and technical strategy. Build reliable, secure, scalable systems using modern LLM and cloud technologies.

Implements a scientific software platform for enterprise R&D customers by migrating data, modeling experimental workflows, and supporting customer meetings. The role interprets scientific datasets, collaborates with chemists and researchers, supports enterprise rollouts, manages smaller accounts, and shares customer feedback with product and engineering teams. Candidates need STEM training, laboratory research experience, fluent French, technical curiosity, customer confidence, and strong data skills.