Role:

We are looking for an experienced AI Engineer to build and deliver practical, business-driven AI solutions. You will work on integrating cloud-based AI models, LLMs, APIs, and intelligent agents into scalable enterprise applications. This role emphasizes rapid development, integration, deployment, and productionization of AI-powered solutions.

Key Responsibilities:

- Design and rapidly deliver AI and Generative AI solutions by integrating existing cloud models, LLMs, and APIs.
- Translate business requirements into technically feasible AI-powered applications and workflows.
- Integrate Google Cloud AI services, including Vertex AI and Document AI, into microservices and enterprise workflows.
- Design, develop, deploy, and monitor intelligent/AI agents for automation and personalization.
- Collaborate with Data Scientists, Architects, Full Stack Engineers, and Squad Leads.
- Build scalable solutions using API-driven and event-driven microservices architectures.
- Develop and maintain CI/CD pipelines using Google Cloud Build and GitHub Actions.
- Work closely with DevOps and SRE teams for reliable deployment, monitoring, and production support.




- Prepare API documentation, runbooks, architecture diagrams, technical demos, and training material.
- Ensure AI applications follow organizational Responsible AI and ethical AI standards.

Tech Stack & Skills:

- 5 - 7 years of relevant experience.
- Strong programming experience with Python and SQL.
- Hands-on development experience with Google Cloud Platform (GCP), Vertex AI, Document AI, and BigQuery ML.
- Strong knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Context Engineering.
- Experience integrating LLMs such as Gemini, OpenAI, Anthropic, and/or Azure OpenAI.
- Experience with AI/Agentic development frameworks (e.g., Google Agent Development Kit).
- Robust knowledge of Microservices Architecture, API-driven/event-driven development, CI/CD, Cloud Build, and GitHub Actions.
- Ability to rapidly develop POCs and prototypes using AI coding assistants.

Education :

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a relevant technical discipline.

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