AI Engineer
Description:
Rapidly deliver businessdriven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing recent algorithms.
Translate business goals into AIpowered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.
Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.
Design, implement, deploy, and monitor intelligent agents to support automation and personalization.
Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.
Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.
Ensure all AI solutions comply with client corporate policies on responsible AI and ethical standards.




Proven experience with Google Cloud Platform development (AI services/products such as Vertex AI, Document AI, BigQuery ML, Agent Development Framework). Project Location 1 Pan India Relevant Experience 5 to 7 Years Mandatory skills Robust knowledge of thirdparty LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), Proven experience with programming languages (SQL Python is a must), Google Cloud Platform development Desired skills Solid knowledge of thirdparty LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), Proven experience with programming languages (SQL Python is a must), Google Cloud Platform development Domain (Industry) Retail Total Experience (Ex. 57 Years) 5 to 7 Years WFO / WFH / Hybrid Hybrid Shift Timings General
Location PAN India
Yrs of Exp5Yrs

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