5 months ago
Barcelona, SpainStaff+
Responsibilities
- Scope and shape AI platform initiatives from early concepts through implementation and influence technical and strategic decisions.
- Design, develop, and maintain Python backend services, APIs, microservices, and ETL pipelines in Azure or AWS.
- Translate requirements and problem statements into reliable code and working proof-of-concepts.
- Build and iterate LLM-based and agentic AI applications with attention to reliability, quality, and AI limitations.
- Collaborate with Cloud Operations, Solution Architecture, Product Engineering, Product Management, and subject-matter experts.
- Lead the technical approach for assigned work from design through implementation and provide technical direction.
- Evaluate and integrate applications written in other languages when needed.
- Test, validate, and continuously improve solutions through unit tests, automation, and iterative development.
- Progress projects from concept to prototype and contribute to technical plans for production.
- Work in an agile environment and adapt priorities to business needs.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field, or equivalent experience.
- At least 7 years of professional software engineering experience.
- At least 4 years developing Python backend systems, including APIs, microservices, and ETL pipelines.
- Solid data engineering experience designing and maintaining data pipelines and working with large-scale datasets.
- At least 5 years working in cross-functional teams with Product, Cloud Operations, Architecture, Engineering, and subject-matter experts.
- At least 3 years working with LLMs or agentic AI applications and understanding their reliability challenges.
- Experience contributing to or defining software architecture for complex systems.
- Experience with AI/ML workflows such as RAG, vector databases, or evaluation techniques.
- Experience mentoring or providing technical guidance to other engineers.
- Experience deploying or integrating backend services in Azure or AWS cloud environments.
Benefits
- Full-time position with core business hours primarily in the CET time zone and flexibility to adjust to global time zones.
- Hybrid work arrangement requiring two to three days per week in the office in Barcelona.
- Equal employment opportunity and compliance with applicable nondiscrimination laws.
Tech Stack
Categories
About Clarivate
Clarivate provides subscription data, analytics platforms and workflow software for academia, government, intellectual property and life sciences organizations. Its portfolio includes Web of Science for research discovery, Derwent and CPA Global tools for patents and IP management, and brand/domain protection services. Formed in 2016 from Thomson Reuters’ IP & Science business, the company is headquartered in London and trades on the NYSE (CLVT).