7+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted on 2 Sept
Reach people at METRO Global Solution Center India
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at METRO Global Solution Center India you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Deliver business-driven AI solutions rapidly by integrating existing cloud AI models and APIs, focusing on practical applications rather than novel algorithm development.
- Translate business goals into scalable, maintainable AI-powered solutions with collaboration across cross-functional teams.
- Design, deploy, and monitor AI-powered intelligent agents and build CI/CD pipelines for robust solution deployment on Google Cloud Platform.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science or Software Engineering.
- Minimum 7 years of hands-on experience in AI engineering.
- Proven expertise with Google Cloud Platform AI services (Vertex AI, Document AI, BigQuery ML) and integration into microservices.
- Proficiency in SQL and Python programming language; experience with prompt engineering for large language models (LLMs).
Ideal Candidate Profile
- Experience working in cloud-native, microservices-based environments, emphasizing API-driven and event-driven development patterns.
- Strong familiarity with third-party LLMs (OpenAI, Anthropic, Gemini, Azure OpenAI) and agent development frameworks like Google Agent Development Kit.
- Demonstrated ability to rapidly prototype (POCs) and apply CI/CD practices within Google Cloud, collaborating closely with DevOps and SRE teams.