AI Engineer - LLM Solutions

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.