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).

- Strong 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.