Lead Software Engineer - Al Product Development

We’re looking for a Lead Software Engineer - Al Product development (Full Stack) to join our Cortellis team in Barcelona, where you’ll build high-impact product features powered by Generative AI and modern software engineering practices.In this role, you’ll take ownership of end-to-end delivery, driving the design and implementation of scalable backend and frontend solutions while integrating AI capabilities-such as GenAI, agent-based workflows, and retrieval-augmented systems-into a mission-critical platform.You’ll collaborate closely with UX, and distributed engineering teams to define architecture, deliver customer-facing features, and ensure AI integrations are reliable, measurable, and production-ready.If you’re excited about building AI-powered products, driving technical decisions, and shaping scalable systems, we’d love to speak with you.About You - experience, education, skills, and accomplishmentsBachelor’s degree in Computer Science, Engineering, or a related fieldAt least 7 years of backend development experience (Java *****, Spring Boot, microservices), including design and delivery of scalable, distributed systems and RESTful APIsAt least 6 years of experience with frontend technologies (Angular, Node.js) and full-stack product developmentAt least 3 years of experience integrating AI capabilities into production systems (OpenAI / Azure OpenAI APIs), including prompt engineering (few-shot, structured outputs, guardrails) and development of AI assistants and agent-based workflows (tool calling, memory patterns)Hands-on experience designing and optimizing RAG pipelines (chunking, embeddings, retrieval orchestration) and evaluating AI systems (Ragas, prompt testing, regression evaluation)Experience building and scaling AI-enabled platforms and services in production environmentsAt least 6 years of experience delivering end-to-end product features, including CI/CD, monitoring, and cloud platforms (AWS or equivalent)It would be great if you also have .. .Experience with CI/CD pipelines and automation tools (GitHub Actions, Jenkins, Azure DevOps)Familiarity with vector databases and retrieval systems (Azure AI Search, Pinecone, Weaviate, FAISS)Knowledge of Responsible AI practices, including prompt injection mitigation, PII masking, and policy enforcementExperience with experimentation frameworks (A/B testing, feature flags such as Split.io)Understanding of platform thinking, including development of shared AI services and reusable componentsWhat will you be doing in this role?Lead the design and delivery of scalable backend features, from architecture to productionBuild and maintain microservices and APIs using Java and Node.js, ensuring performance, reliability, and securityTake end-to-end ownership of product features, from concept and implementation to rollout and continuous improvementIntegrate AI capabilities into the platform, including LLM-based features, RAG patterns, and agent workflowsEnsure AI solutions are robust and production-ready by improving output quality, managing limitations, and optimizing performanceApply prompt engineering best practices and contribute to the development of reliable AI-enabled systemsCollaborate closely with product, engineering, and domain experts to deliver high-impact solutionsContribute to architectural decisions and continuously improve system scalability and maintainabilityMentor and support other engineers, helping to drive engineering excellence across the teamAbout the TeamYou’ll join a team of engineers working across backends, frontends, and quality assurance.We follow an Agile delivery model and collaborate closely with business and product stakeholders to develop the Cortellis platform.Our work delivers structured, high-value insights that support decision-making across the pharmaceutical industry.As part of this team, you’ll help enhance the platform by combining strong engineering practices with modern AI-driven capabilities.The team works closely with, and receives support from, several enabling functions such as DevOps, UX, AI Enablement, and Solution Analysis, ensuring a well-rounded and scalable product development approach.Hours of WorkThis is a full-time, permanent position, primarily working core business hours in CET, with flexibility to collaborate with teams as needed.This is a hybrid position working in the office up to 3 days a week.What we can offer you:30 working days of vacationVolunteering community offering paid hours of volunteering timePrivate Health and Life & Disability insurances.Tax-free benefits (Ticket Restaurant scheme, kindergarten, and transport cards)Agile work environment with a team of talented colleaguesOn-site language classes (Catalan, Spanish and English)Digital workplace with possibility to work in a central office location in Barcelona with global and dynamic employees.At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment.We comply with applicable laws and regulations governing non-discrimination in all locations.SummaryLocation: Spain - BarcelonaType: Full time

If you’re excited about building AI-powered products, driving technical decisions, and shaping scalable systems, we’d love to speak with you.About You - experience, education, skills, and accomplishmentsBachelor’s degree in Computer Science, Engineering, or a related fieldAt least 7 years of backend development experience (Java *****, Spring Boot, microservices), including design and delivery of scalable, distributed systems and RESTful APIsAt least 6 years of experience with frontend technologies (Angular, Node.js) and full-stack product developmentAt least 3 years of experience integrating AI capabilities into production systems (OpenAI / Azure OpenAI APIs), including prompt engineering (few-shot, structured outputs, guardrails) and development of AI assistants and agent-based workflows (tool calling, memory patterns)Hands-on experience designing and optimizing RAG pipelines (chunking, embeddings, retrieval orchestration) and evaluating AI systems (Ragas, prompt testing, regression evaluation)Experience building and scaling AI-enabled platforms and services in production environmentsAt least 6 years of experience delivering end-to-end product features, including CI/CD, monitoring, and cloud platforms (AWS or equivalent)It would be great if you also have .