AI platform engineer

Luza is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside. We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

• 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.
• Будет плюсом: familiarity with Kotlin, Go, or Rust is a plus

• Wage according to candidate's professional experience;
• Remote Work whenever possible;
• Allocation of health insurance from the beginning of the employment;
• Delivery of work equipment adjusted to the performance of functions;
• And others.
• Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.