Applied AI software engineer

Resilience Care; Biarritz; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A healthcare technology company in Biarritz is looking for an experienced applied AI/ML Software Engineer to develop innovative features for their oncology products. This role will impact patient care through developing AI solutions, collaborating with product and delivery teams. The ideal candidate should have strong Python and ML experience, along with fluency in English and a good command of French. This position offers a unique opportunity to contribute to meaningful healthcare challenges while working in an autonomous environment.

Qualifications

• 3+ years of experience developing Python products.
• Experience with ML/NLP/LLM frameworks and libraries.
• Proven ability to deliver products using Docker and APIs.

Responsabilités

• Design and prototype AI features for oncologist workflows.
• Develop production-ready features using Python.
• Monitor deployed features for reliability and performance.

Connaissances

Python development

ML/NLP/LLM frameworks

Version control systems

CI/CD tools

Docker

API development

Fluent in English

B2 level French

Outils

Docker

Python

ML/NLP frameworks

Description du poste

📝 Your Role

In a few words: We’re looking for an experienced applied AI/ML Software Engineer to design and build innovative features for our oncology product line, transforming how oncologists work with patient data.

How your role contributes to Resilience’s success: You’ll be at the forefront of our innovation strategy, directly impacting patient care and real-world evidence research. By prototyping and delivering production-ready AI features, you’ll help us achieve our vision of empowering oncologists with cutting-edge technology.

What your daily life looks like

• Design & Prototype (40%): Collaborate with product managers and designers to design and prototype AI-powered features targeting oncologist workflows and real world evidence research. Experiment with LLMs, NLP models, and ML frameworks to validate concepts before full development.
• Build & Integrate (40%): Develop production-ready features using Python and modern ML/NLP frameworks. Work with Product Engineering Teams to seamlessly integrate AI capabilities into existing products, ensuring quality through CI/CD pipelines and automated testing.
• Maintain & Optimize (20%): Monitor deployed features for reliability and performance. Collaborate with the Data Reliability Engineering Team to leverage curated healthcare data, and document systems for knowledge sharing.

✨ Your Team

A few members of your team: This team is in its early stages. Alongside Ivan, your manager and ML engineer, you will form the core of it. The team's goal is to accelerate the delivery of AI features within our products—whether by using off-the-shelf AI tools, developing models for well-identified needs, or integrating models built by ML researchers in other teams. You’ll work closely with Noémie and Anthony (Product & Delivery Team).

A few words about your manager: Ivan leads the AI engineering initiatives and brings deep expertise in ML/NLP applications for healthcare. He values autonomy, innovation, and collaborative problem-solving.

The little ➕ about your team: You’ll be joining at a pivotal moment—this team is just taking shape, and your input will directly influence how we build, collaborate, and scale AI capabilities at Resilience. This is a unique opportunity to balance innovation with real-world impact.

👤 Candidate Profile

⚙️ You’re the right person if you know how to:

• Develop Python products with 3+ years of experience
• Work with ML/NLP/LLM frameworks and libraries
• Use version control systems and CI/CD tools
• Deliver products using Docker, APIs, and service architecture
• Communicate fluently in English and at least B2 level in French (main language used in the company and the daily language)

🙂 You’re the right person if you are:

• Autonomous: You work effectively even when goals are unclear or evolving
• Analytical: You turn ideas and intuitions into concrete, actionable solutions
• Proactive: You identify problems and propose solutionsOpen communicator: You share your thinking, ask questions, and collaborate transparently
• Versatile: You adapt to different types of problems requiring varied skills (AI, ops, architecture…)

📃 You’re the right person if you have already:

• Built and deployed ML/NLP features in production environments
• Collaborated with product teams to translate user needs into technical solutions
• Worked in ambiguous environments where you had to balance multiple technical challenges

It’s a ➕ if you:

• Have extensive NLP experience beyond basic applications
• Have in-depth knowledge of LLMs (fine-tuning, prompting, RAG, etc.)
• Have experience with healthcare data and clinical workflows
• Have a background in oncology or life sciences domains

💛 Why join us?

This role offers the rare opportunity to make a tangible difference in healthcare technology. You’ll work on meaningful problems that directly impact patient care, with the autonomy to innovate and the resources to bring your ideas to life. Join a team that values technical excellence, collaboration, and real-world impact in the fight against cancer.

3️⃣ Recruitment Process

• Interview 1 with Ivan - Alignment on the position and role expectations (30 min)
• Technical Test with Ivan & Jullian - Coding and system design assessment (90 min)
• Interview 2 with Noémie & Anthony - Assessment of collaboration with Product teams (30 min)
• Interview 3 with Alice - Discussion about company culture and values (45 min)

GDPR: Your personal data will be processed for the purposes of recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. They will be available only for people involved in the process and erased after 2 years of inactivity. Under GDPR and as Resilience attach great importance to privacy, please note that you have the right to request access to your personal data, to request that your personal data be rectified or erased. The Data Protection Officer can be contacted at [e-mail]. For more information, please check our privacy policy.