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 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