AI Workflow & Integration Engineer (GCP and ADK)

Company Overview

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.

Job Summary

We are seeking a motivated and hands-on AI Workflow & Integration Engineer with a strong background in developing and deploying intelligent automation solutions using Google Cloud Platform (GCP) and Automation Development Kit (ADK). The ideal candidate will possess a blend of programming expertise and experience with modern AI tools, along with a deep understanding of cloud-native architecture. This role will contribute to the organization's goals by designing, building, testing, and scaling AI-powered automation workflows.

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.

Qualifications

• 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
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 4+ years in a relevant role.

Preferred Skills

• 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).

Experience

4+ years of experience in a relevant role, specifically focused on AI automation solutions and cloud technologies.

Environment

This position will be on-site located in Pune, Maharashtra. It requires collaboration with cross-functional teams in a typical office setting.

Salary

Monthly compensation ranges from INR 80,000 to INR 1,20,000.

Growth Opportunities

Opportunities for career advancement within the company may arise, particularly as the company continues to grow and evolve its technological offerings.

Benefits

• Offered benefits include health insurance, paid leave, and opportunities for professional development, to be discussed upon hiring.