Lead Software Engineer - AI Product Development

We are looking for a Lead Software Engineer - AI Product Development (Data) to join our AI Engineering team in Barcelona. This is an exciting opportunity to work on cutting-edge AI-powered software, building reliable, scalable solutions that leverage Python, cloud technologies (Azure/AWS), microservices, and LLM-based applications.

You will be joining a small, highly skilled engineering team, reporting to the Engineering Manager. We have deep expertise in backend development, AI/ML, cloud services, and data engineering, and we would love to speak with you if you have strong skills in Python backend engineering, cloud ecosystems, data engineering, and AI-driven solution development.

About You - experience, education, skills, and accomplishments

• Bachelor's degree in computer science, Software Engineering, or a related field, or equivalent experience.

• At least 7 years of professional software engineering experience, including at least 4 years developing backend systems in Python (APIs, microservices, ETL pipelines), with solid exposure to Data Engineering practices such as designing and maintaining data pipelines and working with large-scale datasets.

• At least 5 years of experience working in cross-functional, agile teams, collaborating with Product, Cloud Ops, Architecture, Engineering, and SMEs.

• At least 3 years of experience working with LLMs or agentic AI applications, with demonstrable understanding of their reliability challenges.

It would be great if you also have . . .

• 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 working in cloud environments (Azure or AWS), including deploying or integrating backend services.

What will you be doing in this role?

• Scoping and shaping AI platform initiatives for LS&H products, from early concepts through implementation, actively influencing technical direction and strategic decisions such as building in-house capabilities, leveraging cloud-native AI services, or adopting open-source and LLM-driven technologies.

• Designing, developing, and maintaining backend services, including APIs, microservices, and ETL pipelines running in Azure or AWS.

• Translating ideas, requirements, and problem statements from multiple teams into high-quality, reliable code and working proof-of-concepts.

• Collaborating closely with Cloud Operations, Solution Architecture, Product Engineering, Product Management, and SMEs to understand needs and deliver technical solutions.

• Building and iterating LLM-based or agentic AI applications, ensuring reliability, quality, and awareness of AI limitations.

• Evaluating and integrating with applications written in other languages (e.g., Java, Typescript) when needed.

• Leading the technical approach on assigned work by taking initiative and ownership from design through implementation.

• Testing, validating, and continuously improving solutions through unit tests, automation, and iterative development.

• Progressing projects from initial concept to prototype and contributing to the technical plans needed to move them toward production.

• Working in an agile, fast-paced environment, adapting priorities based on business needs and contributing to a culture of continuous improvement.

About the Team

Our team is part of the LS&H Innovation group, focused on developing AI-driven capabilities across the organization. The immediate team consists of the Engineering Manager and three Lead Software Engineers. We also work closely with Solutions Architects, who play a key role in shaping technical direction and supporting platform development.

We operate within a broader AI Innovation ecosystem that includes multiple software engineering teams and a dedicated Product Management function. Collaboration across these groups is central to how we explore opportunities, build innovative solutions, and accelerate AI adoption across the organization.

Hours of Work

This is a full-time position, primarily working core business hours in CET time zone, with flexibility to adjust to various global time zones as needed.

This is a hybrid position working in the office 2-3 days a week.