Hybrid AI Engineering Lead

at dLocal

• Job title: AI Engineering Lead
• Job type: Full Time
• Experience level: Senior
• Salary: €74,784 - €93,480 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Google Cloud Platform, Microservices, SDLC
• Location requirements: Hybrid, Madrid, Spain

About the role

• DCoder Lead at dLocal, overseeing technical vision for AI-assisted coding platform. Collaborating across teams to enhance developer experience and ensure robust AI integration.

Responsibilities

• Own the architecture, roadmap, and evolution of DCoder, integrating with LLMs, CI/CD, repos, and engineering workflows.
• Drive developer adoption through documentation, demos, training, and enablement materials.
• Define best practices and guardrails for AI-assisted coding (prompt design, context management, evaluation, safety).
• Partner with Engineering, Platform, Security, and Product to align priorities and deliver impact.
• Ensure DCoder operates reliably at scale — balancing performance, cost, security, and usability.
• Gather continuous feedback from developers and iterate quickly on improvements.
• Establish governance and standards around responsible AI usage in SDLC workflows.

Requirements

• Real software development experience: 5+ years hands-on engineering, having shipped and operated production code; fluency with Git, code review, CI/testing, and modern backend/front-end stacks.
• Proven experience applying AI and LLM-based systems in real-world environments, including assistants and agents used at scale.
• Solid understanding of AI system technology (LLMs, APIs, orchestration, prompt/context management, evaluation, cloud platforms).
• Practical knowledge in building and deploying microservices and integrating third-party APIs and AI services.
• Experience with monitoring applications in production.
• Hands-on experience with AWS; GCP is a plus.
• Product management or equivalent ownership experience, preferably in developer tools, platforms, AI/ML systems, or infrastructure.
• Experience leading and developing engineers, providing technical direction, prioritization, and support while fostering high standards and autonomy.
• Ability to read/reference code and architecture, prototype to de-risk ideas, and define clear success criteria.
• Comfortable designing metrics, running experiments, and using telemetry to inform prioritization and validate changes.
• Strong ability to work in close partnership with Product, contributing to discovery and prioritization.