Sr Developer

Senior AI Software Engineer

Overview

We are seeking an experienced Software Engineer to help build the next generation of AI-enabled software delivery capabilities. This role focuses on developing reusable platform services, AI-powered workflows, and engineering tools that improve how software is built, tested, secured, and deployed across the organization.

What You'll Do

• Design and develop high-quality, scalable, and efficient software solutions.
• Build AI-enabled and agentic workflows that support modern software delivery practices.
• Develop reusable platform capabilities, APIs, integrations, and automation services.
• Integrate AI-driven functionality into established developer tools and CI/CD pipelines.
• Support software testing, security, monitoring, and production-readiness initiatives.
• Identify technical risks and help drive resolution of critical issues.
• Contribute to evaluation, monitoring, and continuous improvement of AI-powered capabilities.
• Mentor junior developers and contribute technical leadership on project initiatives.
• Collaborate with engineering teams to deliver solutions that improve productivity and reduce manual effort across the software development lifecycle.

Required Qualifications

• 4+ years of Software Engineering experience.
• 2+ years of experience building AI-enabled or Agentic Software solutions.
• 4+ years of Platform Engineering and/or DevSecOps experience.
• Experience leading significant portions of one or more large software implementation projects.
• Strong understanding of software design, development, testing, and deployment practices.
• Ability to work in a highly collaborative engineering environment.

Required Technical Skills

• Golang (Go)
• GitLab CI/CD
• AI Agent Orchestration Frameworks
• Python
• API Development and Integration
• Platform Engineering
• DevSecOps Practices

Preferred Experience

• Building AI capabilities integrated into enterprise software delivery processes.
• Agent orchestration and workflow automation frameworks.
• Cloud platforms and distributed systems.
• Observability and monitoring tools.
• Automated evaluation frameworks.
• Security-first development practices.
• Building reusable engineering capabilities used across multiple teams.