> Markdown version of [/jobs/ext/4104596-backend-applied-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4104596-backend-applied-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend & Applied AI Engineer - **Company:** Resilience Care - **Location:** Paris, France - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Clinical Data Repository, Software as a Service, Software Quality, Code Review, Databases, Continuous Integration, Python (Programming Language), Large Language Models, Backend, Git, Front End Software Development, Docker - **Published:** October 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=226ca4c47922ff23 ## About the Role * Open and direct communication. * An analytical mindset and the habit of testing your assumptions. * A collaborative approach across backend, frontend, product and applied AI. * The drive to learn quickly while asking for support at the right time. * Care for code quality and the operational consequences of technical choices. You are the right person if you have already * Built up to two years of professional experience, through employment or significant projects in Python backend development. * Developed and deployed at least one service or API. * Used a database in a real application. * Worked with Docker and a continuous-integration workflow. * Worked in both French and English, with a minimum B2 level in each language. It is a plus if you have worked on processing-intensive systems, NLP/LLM pipelines, healthcare data or a production SaaS product. ## Description You will join our engineering team as a Backend & Applied AI Engineer. Your role will focus primarily on a product used to structure real-world clinical data: developing and maintaining product services and APIs, improving performance and architecture, and strengthening production reliability. You will also contribute to the delivery of AI-enabled features through code review and backend integration. In the short and medium term, the role is expected to be approximately 75% backend and 25% Applied AI. This split may evolve with team and product needs, without a predefined trajectory. Your impact * Become progressively autonomous on the product backend during your first six months. * Reduce production blind spots by improving incident detection and follow-through. * Evolve the architecture to better support concurrency, parallelism and processing volumes. * Help the team deliver AI components that are reliable, performant and properly integrated into the product. Your day-to-day work * Develop and maintain backend services and APIs in Python. * Work with the rest of the team, to deliver product changes end to end. * Measure and improve processing time, scalability and backend architecture. * Strengthen testing, CI/CD, observability and production reliability. * Collaborate with, the Applied AI Engineer, particularly on pull-request reviews and the backend integration of AI-enabled features., You will work closely with: * Ivan Panico - Lead ML Engineer and your manager, who will support your ramp-up and major architectural decisions. * Tom - Applied AI Engineer, who owns the main Applied AI topics and partners with you on product integration. * Armand - Full Stack Developer, your main partner for designing and delivering product features end to end., * Develop backend services in Python. * Design and evolve APIs. * Work with databases and data-processing workflows. * Use Docker, Git and CI/CD pipelines. * Understand latency, throughput, concurrency, parallelism and resource-consumption challenges. * Integrate an AI model or LLM API into a product, even through an initial hands-on experience., * Build a product that puts data and AI at the service of care and clinical research. * Progressively take real backend ownership with support suited to an early-career role. * Work on concrete performance, architecture and production-reliability challenges. * Collaborate daily with frontend and Applied AI engineers. * Join a team that works remotely from France while maintaining regular links with Paris., * Screening with Elena - 15 minutes. Motivation, role alignment, prerequisites and a brief English check. * Manager fit with Ivan - 30 minutes. Role alignment, prerequisites. * Technical interview with Ivan and Tom - 90 minutes for the candidate. You will have 30 minutes to work independently on a technical problem, followed by a 60-minute discussion of your approach, choices and trade-offs. * Product collaboration interview with Jullian & Adil - 30 minutes * Culture fit with Elena - 30 minutes.