4 days ago
Madrid, SpainSenior
Responsibilities
- Own the technical delivery of AI solutions from problem definition and architecture through build, deployment, monitoring, evaluation, adoption, and continuous improvement.
- Design and implement GenAI, RAG, multi-step workflow, tool-using agent, and agent orchestration systems.
- Develop evaluation frameworks and AI engineering harnesses for models, prompts, retrieval strategies, agent behaviors, and tool integrations.
- Build Python-based services, APIs, microservices, dashboards, integrations, data pipelines, and production infrastructure.
- Manage deployed agents through versioning, testing, release management, monitoring, incident response, improvement, and retirement.
- Implement monitoring for quality, business impact, cost, latency, failure modes, drift, hallucination risk, grounding quality, and reliability.
- Ensure AI solutions meet reliability, scalability, security, privacy, data governance, responsible AI, validation, traceability, and compliance expectations.
- Mentor engineers, contribute to shared engineering standards, and communicate technical concepts to technical and non-technical stakeholders.
Requirements
- Bachelor's degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.
- Demonstrated experience independently delivering production-grade software, AI, machine learning, data, or analytics solutions.
- Strong hands-on Python expertise and solid software engineering knowledge.
- Experience designing and delivering cloud-based or hybrid applications, preferably with AWS.
- Hands-on experience with modern agent frameworks and harnesses such as DeepAgents, LangGraph, LangChain, or equivalent technologies.
- Strong understanding of LLMs, RAG, prompt engineering, AI agents, model integration, tool use, and evaluation approaches.
- Experience with APIs, microservices, Docker, monitoring, automated testing, code reviews, and AI evaluation harnesses.
- Ability to translate evaluation results into engineering decisions, product improvements, and stakeholder recommendations.
- Ability to lead technical delivery, manage ambiguity, and influence cross-functional stakeholders.
- Experience in industrial, manufacturing, pharmaceutical, biotechnology, quality, or other regulated environments is strongly preferred.
Benefits
- On-site/hybrid work arrangement.
- No relocation assistance is provided.
- Roche offers an equal opportunity workplace with an inclusive culture focused on personal expression, collaboration, and professional growth.
Categories
About Roche
Roche is a Swiss healthcare company that develops and sells prescription pharmaceuticals and in vitro diagnostic systems for hospitals, laboratories, and clinicians. Its business spans two core divisions—Pharmaceuticals and Diagnostics—with strengths in oncology, immunology, neuroscience, infectious diseases, and diabetes care. Founded in 1896 and headquartered in Basel, Switzerland, Roche also advances personalized healthcare by pairing therapies with companion diagnostics.