AI Ops Engineer

EndavaColorado, CO
Hybrid

About The Position

We're seeking an AI Operations Engineer with experience building AI-powered applications using Python and Google Cloud Platform (GCP). In this role, you'll design, develop, deploy, and support intelligent AI agents that improve business and operational processes while working with modern cloud infrastructure and emerging agentic AI technologies.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).
  • 2–4 years of professional software engineering experience.
  • Strong programming skills in Python.
  • Hands-on experience developing AI applications using the Google Agent Development Kit (ADK) or similar agentic AI frameworks.
  • Experience developing and deploying applications within Google Cloud Platform (GCP).
  • Experience working with REST APIs, cloud services, and distributed applications.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills within Agile teams.

Nice To Haves

  • Experience with Terraform and Infrastructure as Code (IaC).
  • Experience with containerization technologies such as Docker or Kubernetes.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Mobile development experience (Android and/or iOS).
  • Experience integrating AI models into enterprise applications.
  • Knowledge of software testing, monitoring, and production support best practices.
  • One or more of the following certifications is a plus: Google Associate Cloud Engineer, Google Professional Cloud Developer, Google Professional Cloud Architect.

Responsibilities

  • Design, develop, and maintain AI applications and intelligent agents using Python and the Google Agent Development Kit (ADK).
  • Deploy, manage, monitor, and optimize AI workloads within Google Cloud Platform (GCP).
  • Build scalable, secure, and maintainable cloud-native AI services.
  • Partner with business stakeholders, architects, software engineers, and data teams to translate business requirements into AI-enabled solutions.
  • Integrate AI capabilities into existing enterprise applications and business workflows.
  • Develop and maintain Infrastructure as Code (IaC) using Terraform to support automated cloud deployments.
  • Troubleshoot production issues, optimize application performance, and continuously improve reliability and scalability.
  • Participate in Agile ceremonies, sprint planning, code reviews, and technical design discussions.
  • Contribute to engineering best practices, reusable frameworks, and AI development standards.

Benefits

  • Competitive salary package
  • Share plan
  • Company performance bonuses
  • Value-based recognition awards
  • Referral bonus
  • Career coaching
  • Global career opportunities
  • Non-linear career paths
  • Internal development programmes for management and technical leadership
  • Complex projects
  • Rotations
  • Internal tech communities
  • Training
  • Certifications
  • Coaching
  • Online learning platforms subscriptions
  • Pass-it-on sessions
  • Workshops
  • Conferences
  • Hybrid work
  • Flexible working hours
  • Employee assistance programme
  • Global internal wellbeing programme
  • Access to wellbeing apps
  • Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
  • Flexible Spending Accounts (Medical, Transit, and Dependent Care)
  • Employer Paid Life Insurance and AD&D Coverages
  • Health Savings account paired with our low-cost High Deductible Medical Plan
  • 401(k) Safe Harbor Retirement plan with employer match with immediately vest
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