Senior Automation Engineer (GCP)

Position:

Work type:

About the Company

Our client is a rapidly growing technology firm specializing in AI-driven digital transformation and automation solutions. They work with leading enterprises to design and implement scalable, intelligent systems that streamline business operations and drive measurable outcomes. The company’s mission is to empower organizations through cloud-native automation, advanced analytics, and generative AI capabilities—enabling smarter decision-making and operational excellence.

About the Role

AI Automation Engineer

The ideal candidate will have a blend of programming expertise, experience with modern AI tools, and a deep understanding of cloud-native architecture. You will be responsible for designing, building, testing, and scaling AI-powered automation workflows while collaborating with cross-functional teams to deliver impactful, production-ready solutions.

Key Responsibilities

• Design, build, and deploy AI automation agents using

  GCP

  and

  ADK

  .
• Integrate automation agents with existing enterprise systems and APIs.
• Develop and maintain automation workflows, scripts, and reusable components.
• Utilize

  GCP AI/ML services

  (Vertex AI, Cloud Functions, Pub/Sub, Cloud Run, etc.) to implement intelligent automation.
• Monitor, troubleshoot, and optimize automation performance.
• Collaborate with AI, DevOps, and Data Engineering teams to ensure high-quality deliverables.
• Implement best practices in security, scalability, and maintainability within GCP environments.
  

Required Technical Skills

Programming:

• Python (Primary)
• JavaScript or TypeScript (for API and UI integration)
• Bash/Shell scripting
  

AI & Automation Tools:

• Automation Development Kit (ADK)
• GCP AI/ML APIs (Vertex AI, Dialogflow, Cloud AutoML, etc.)
• LLM and Generative AI integration (OpenAI, Gemini, or similar models)
  

Cloud & DevOps:

• Google Cloud Platform (IAM, Cloud Functions, Pub/Sub, Cloud Run, BigQuery)
• CI/CD tools (Cloud Build, GitHub Actions)
• Docker and containerization basics
  

APIs & Integrations:

• RESTful APIs, JSON, OAuth 2.0
• Webhooks and event-driven architecture
  

Version Control:

• Git / GitHub / GitLab
  

Preferred Skills (Nice to Have)

• Basic understanding of

  machine learning pipelines

• Experience with

  prompt engineering

  or

  LLM orchestration

• Familiarity with

  LangChain

  ,

  CrewAI

  , or similar agent frameworks
• Exposure to

  GCP Dataflow

  or

  Cloud Composer (Airflow)

Education

Computer Science

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent collaboration and communication skills
• Ability to work independently in a fast-paced environment
• Detail-oriented with a proactive approach to innovation