Generative AI Engineering Intern – Google Cloud

Company DescriptionKV Tech Solutions Pvt Ltd is a technology-focused organization delivering cloud, data, and AI solutions for global clients. Our India team works closely with TensorCX on enterprise solutions built using Google Cloud and Generative AI technologies.We focus on practical applications of Generative AI, AI agents, enterprise integrations, data platforms, and cloud technologies to solve real-world business challenges.We encourage innovation, collaboration, continuous learning, and hands-on experimentation with emerging technologies while maintaining a strong focus on security, scalability, reliability, and responsible AI.Role DescriptionWe are seeking a Generative AI Engineering Intern – Google Cloud for a full-time, remote internship in India.Duration: 3–6 monthsStipend: ₹10,000 per monthYou will work with our engineering team to design, build, integrate, and test Generative AI solutions using Google Cloud and Gemini technologies.This is a hands-on engineering internship. You will have opportunities to work with Gemini Enterprise, AI agents, Model Context Protocol (MCP), APIs, RAG, tool calling, and enterprise application integrations.Your responsibilities may include:Building and testing Generative AI applications and AI agents.Developing Python-based integrations with APIs and enterprise systems.Working with Google Cloud and Gemini technologies.Assisting with MCP-based integrations for enterprise AI agents.Working with REST APIs, JSON, authentication, and enterprise data.Experimenting with RAG, grounding, tool calling, and agentic workflows.Testing AI agent responses, context retrieval, permissions, and tool execution.Supporting integrations with platforms such as ServiceNow, Salesforce, Microsoft Outlook, SharePoint, and OneDrive.Troubleshooting and improving AI applications and integrations.Documenting technical designs, APIs, testing results, and implementation workflows.Participating in code reviews and collaborative engineering discussions.Following security, privacy, and responsible AI practices.QualificationsFoundational programming skills, preferably Python, with the ability to write clean and well-documented code.Basic understanding of Generative AI, machine learning, LLMs, or related concepts.Basic understanding of REST APIs and JSON.Familiarity with Git/GitHub.Familiarity with Google Cloud is helpful, but not required.Strong interest in Generative AI, AI agents, and cloud technologies.Ability to read technical documentation and translate it into implementation steps.Strong problem-solving, analytical thinking, and attention to detail.Good written and verbal communication skills.Self-motivated and comfortable working in a remote engineering environment.Currently pursuing or recently completed a degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, MCA, or a related technical field, or equivalent practical experience.Experience with Gemini APIs, Gemini Enterprise, MCP, RAG, vector search, Docker, Cloud Run, BigQuery, ServiceNow, Salesforce, or Microsoft Graph API is a plus but not required.We are more interested in your ability to learn, build, and solve problems than in a long list of certifications.Potential Full-Time OpportunityWe are looking for interns who are interested in growing with our team.High-performing interns who successfully complete the internship may be considered for a full-time position with KV Tech Solutions Pvt Ltd, depending on performance, available positions, business requirements, and successful completion of our hiring process.Candidates who would be interested in continuing with us for at least one year as a full-time employee if offered a position after the internship are encouraged to apply.A full-time position is not guaranteed.How to ApplyApply through LinkedIn with your resume.We strongly encourage applicants to include a GitHub profile, portfolio, or link to a technical project you personally built.When reviewing applications, we are particularly interested in understanding what you built, the technologies you used, the challenges you encountered, and what you personally implemented.