AI Engineer - 11967
Coupa (company site, opens in a new tab)3–5 yrsPuneHybridDirect career pageEst. 18–35 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy autonomous AI agents and generative AI solutions using Google Cloud Platform services like Google ADK and Vertex AI to solve key business challenges.
- Own end-to-end AI project lifecycle including prototyping, production deployment, monitoring, and iterative improvement within GCP environment.
- Collaborate cross-functionally with business stakeholders, QA specialists, and cloud engineers ensuring AI solutions are reliable, scalable, and responsible using tools like Vertex AI Responsible AI features.
Minimum Requirements
- 3-5+ years of experience in software engineering, data science, or AI/ML solution delivery with demonstrated Google Cloud Platform expertise.
- Hands-on experience with Google Vertex AI (model deployment, endpoint management) and Google ADK or Vertex AI Agent Builder for AI agent development.
- Proficiency in Python and relevant Google Cloud AI/ML SDKs, plus experience with Google Cloud services (BigQuery, Cloud Functions, Cloud Run, Pub/Sub).
- Bachelor's degree in Computer Science, Data Science, or related field, or equivalent practical experience.
Ideal Candidate Profile
- Demonstrated ability to define scope and deliver AI/ML solutions from ambiguous business problems to production on Google Cloud Platform with ownership of business outcomes.
- Experience integrating AI automation into enterprise SaaS platforms (ERP, CRM, HRIS, procurement systems) via APIs or event streams.
- Strong communicator capable of explaining complex AI tradeoffs to both technical teams and business stakeholders.