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
- 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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 7 years of backend development experience with Java 11/17, Spring Boot, microservices, scalable distributed systems, and RESTful APIs
- At least 6 years of experience with Angular, Node.js, and full-stack product development
- At least 3 years of experience integrating AI capabilities into production systems using OpenAI or Azure OpenAI APIs
- Experience with prompt engineering, including few-shot prompting, structured outputs, and guardrails
- Experience developing AI assistants and agent-based workflows, including tool calling and memory patterns
- Hands-on experience designing and optimizing RAG pipelines involving chunking, embeddings, and retrieval orchestration
- Experience evaluating AI systems using Ragas, prompt testing, and 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 with CI/CD, monitoring, and cloud platforms such as AWS
- Experience with CI/CD pipelines and automation tools such as GitHub Actions, Jenkins, or Azure DevOps
- Familiarity with vector databases and retrieval systems such as Azure AI Search, Pinecone, Weaviate, or FAISS
- Knowledge of Responsible AI practices, including prompt injection mitigation, PII masking, and policy enforcement
- Experience with experimentation frameworks, A/B testing, or feature flags such as Split.io
- Understanding of platform thinking and shared AI services
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
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Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
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Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
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Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
