7+ yrsPuneHybridDirect career pageEst. 25–40 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, prioritizing practical implementation over new algorithm development.
- Translate business goals into scalable AI-powered microservices and intelligent agents using Google Cloud AI services.
- Build and maintain CI/CD pipelines and ensure responsible AI compliance with corporate policies.
Minimum Requirements
- 7+ years of hands-on experience as an AI Engineer or similar role.
- Bachelor's or Master's degree in Computer Science or Software Engineering.
- Proven experience with Google Cloud Platform AI services (Vertex AI, Document AI, BigQuery ML, Agent Development Framework).
- Strong programming skills in Python and SQL; experience with microservices architecture and CI/CD pipelines on GCP.
Ideal Candidate Profile
- Experienced in integrating third-party large language models (OpenAI, Anthropic, Gemini, Azure OpenAI) with mastery in prompt and context engineering.
- Skilled in designing and deploying AI-powered intelligent agents and automation within cloud-native microservices environments.
- Operates with a structured, process-oriented approach and collaborates effectively with multidisciplinary teams including DevOps and SREs.