Senior AI Platform Engineer

Meet Genesis

Genesis Digital Solutions is a consulting and technology company that helps organizations turn ideas into measurable business impact through digital expertise and AI innovation. Founded in 2018, we operate across Portugal and the United Arab Emirates, supporting clients in multiple industries with intelligent, scalable, and secure solutions. We combine strategy, engineering, and emerging technologies such as AI, Data, Web3, and Digital Product Development to drive transformation end to end. Our focus is on building practical, human-centered solutions and long-term partnerships that enable sustainable growth, innovation, and real-world results.

Your Next Challenge

We are looking for a Senior AI Platform Engineer to build and scale an AI-driven engineering platform that enhances developer productivity and streamlines the entire Software Development Lifecycle (SDLC), from requirements and design to implementation, testing, and production.

This role combines hands-on AI engineering, agentic workflow development, and platform engineering. You will design and deploy AI agents that operate in real-world production environments, integrate them with enterprise engineering tools, and establish the evaluation frameworks and quality controls needed to ensure reliable outcomes.

We are looking for a highly autonomous engineer who takes ownership of complex technical challenges, evaluates alternative solutions, and drives implementation with minimal supervision.

What You’ll Work On

• Design and build agentic development workflows, tools, and automation across the entire SDLC.
  
• Develop, deploy, and integrate AI agents in production environments, including orchestration, tool use, and context engineering.
  
• Build and integrate Model Context Protocol (MCP) servers and agent-to-tool integrations.
  
• Implement evaluation frameworks, guardrails, and quality checks to ensure reliable and consistent agent outputs.
  
• Build and optimize CI/CD pipelines, infrastructure automation, and internal developer tooling.
  
• Integrate AI-powered workflows with enterprise engineering systems, including Jira, source control platforms, and CI/CD tools.
  
• Develop and improve internal developer platforms, command-line interfaces (CLIs), and workflow engines.
  
• Leverage AI coding tools to enhance software development practices and engineering productivity.
  
• Improve the reliability, efficiency, and overall developer experience of engineering workflows.
  
• Evaluate alternative technical approaches and independently drive implementation decisions.
  
• Apply Infrastructure as Code practices to build and maintain scalable cloud infrastructure.
  
• Collaborate with engineering teams to identify opportunities for AI-driven automation and continuous improvement.
  

What We’re Looking For

• 8+ years of software engineering experience, including senior or technical leadership responsibilities
  
• Proven hands-on experience building and deploying AI agents in production environments.
  
• Strong knowledge of agent orchestration, MCP, tool integration, context engineering, and evaluation frameworks.
  
• Solid background in Platform Engineering, DevOps, and CI/CD.
  
• Proficiency in Python and TypeScript.
  
• Experience with cloud infrastructure, particularly GCP or equivalent cloud platforms.
  
• Experience with Infrastructure as Code tools such as Terraform.
  
• Experience developing internal developer platforms, CLIs, automation frameworks, or workflow engines.
  
• Strong understanding of the end-to-end Software Development Lifecycle and developer productivity practices.
  
• Hands-on experience using agentic coding tools as part of day-to-day software development.
  
• Excellent problem-solving skills and the ability to independently investigate, evaluate, and implement technical solutions.
  
• Strong sense of ownership and ability to work autonomously with minimal supervision.
  
• C1 level of English, both written and spoken
  

Bonus Points

• Experience with AI-powered development tools such as Cursor, Claude Code, or similar solutions.
  
• Knowledge of knowledge graphs, static analysis, or code intelligence tooling.
  
• Experience with BDD, Cucumber, contract testing, or mobile test automation tools such as Maestro.
  
• Experience improving engineering productivity through automation at scale.
  
• Familiarity with Kotlin, Go, or Rust.
  
• Experience designing AI-driven engineering platforms for large or distributed development teams.
  

Why You’ll Stay

• A workplace that values innovation and personal growth.
  
• Opportunities to work on high-impact projects for leading clients.
  
• Flexible hours and hybrid work options.
  
• Support for professional development, including training and certifications.
  
• Health and life insurance.
  
• 25 days of annual leave.