7+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Deliver AI solutions by integrating existing cloud AI models and APIs to meet business goals rapidly.
- Design, implement, deploy, and monitor AI-powered intelligent agents supporting automation and personalization.
- Build and maintain CI/CD pipelines on Google Cloud ensuring secure, maintainable, and observable AI systems.
Minimum Requirements
- 7+ years of hands-on experience in AI engineering or related roles.
- Bachelor's or Master's degree in Computer Science or Software Engineering.
- Proven experience with Google Cloud AI services including Vertex AI, Document AI, BigQuery ML, and agent development frameworks.
- Strong proficiency in Python and SQL programming, microservices architecture, CI/CD pipelines on Google Cloud.
Ideal Candidate Profile
- Experienced in integrating third-party large language models and proficient in prompt and context engineering.
- Able to collaborate effectively with cross-functional teams including data scientists, architects, full stack engineers, DevOps, and SREs.
- Comfortable with rapid prototyping and iterative development in a business-driven AI environment.