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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 Accomplishments Bachelor’s degree in Computer Science, Engineering, or a related field At least 7 years of backend development experience (Java 11/17, Spring Boot, microservices), including design and delivery of scalable, distributed systems and RESTful APIs At least 6 years of experience with frontend technologies (Angular, Node.js) and full-stack product development At 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 environments At 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 enforcement Experience with experimentation frameworks (A/B testing, feature flags such as Split.io) Understanding of platform thinking, including development of shared AI services and reusable components What will you be doing in this role? Lead the design and delivery of scalable backend features, from architecture to production Build and maintain microservices and APIs using Java and Node.js, ensuring performance, reliability, and security Take end-to-end ownership of product features, from concept and implementation to rollout and continuous improvement Integrate AI capabilities into the platform, including LLM-based features, RAG patterns, and agent workflows Ensure AI solutions are robust and production-ready by improving output quality, managing limitations, and optimizing performance Apply prompt engineering best practices and contribute to the development of reliable AI-enabled systems Collaborate closely with product, engineering, and domain experts to deliver high-impact solutions Contribute to architectural decisions and continuously improve system scalability and maintainability Mentor and support other engineers, helping to drive engineering excellence across the team About The Team You’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 Work This 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 vacation Volunteering community offering paid hours of volunteering time Private Health and Life & Disability insurances. Tax-free benefits (Ticket Restaurant scheme, kindergarten, and transport cards) Agile work environment with a team of talented colleagues On-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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.