Hybrid 1 day per week (Lisbon, Braga or Coimbra)

experienced Senior AI Platform Engineer to help build and scale an AI-driven engineering platform that improves developer productivity and streamlines the end-to-end software development lifecycle, from requirements and design to implementation, testing, and production.

The ideal candidate is a proactive, highly autonomous problem-solver who can take ownership of complex technical challenges, evaluate alternative solutions, and independently drive implementation. Proven experience building and deploying AI agents in real-world production environments is essential, as experience limited to proof-of-concepts or theoretical knowledge will not be sufficient.

This role combines AI engineering, platform engineering, and developer productivity, requiring hands-on technical expertise, strong problem-solving skills, and the ability to work independently.

• Design and build agentic development workflows, tools, and automation across the SDLC.

• Develop and integrate AI agents, including orchestration, tool use, MCP servers, and context engineering.

• Implement evaluation frameworks, guardrails, and quality checks to ensure reliable agent outputs.
  Build and optimize CI/CD pipelines, infrastructure automation, and developer tooling.

• Integrate AI-powered workflows with enterprise systems, including Jira, source control, and CI platforms.

• Improve engineering efficiency, reliability, and developer experience.

• 8+ years of software engineering experience, including senior or lead-level responsibilities.

• Proven experience building and deploying AI agents in production environments, including orchestration, MCP, and evaluation frameworks.
  Strong background in Platform Engineering, DevOps, and CI/CD.
  Proficiency in Python and TypeScript; familiarity with Kotlin, Go, or Rust is a plus.

• Experience with cloud infrastructure (GCP or equivalent) and Infrastructure as Code (Terraform or similar).
  Experience developing internal developer platforms, CLIs, or workflow engines.
  Strong understanding of the end-to-end SDLC and developer productivity practices.

• Hands-on experience using agentic coding tools in day-to-day software development.

• Excellent problem-solving skills, technical ownership, and ability to operate autonomously with minimal supervision.
  
  Nice to Have:
  
  - Experience with Cursor, Claude Code, or similar AI development tools.
  - Knowledge graphs, static analysis, or code intelligence tooling.
  - BDD/Cucumber, contract testing, or mobile test automation (Maestro).
  - Experience improving engineering productivity through automation at scale.