Technical Product Intern, GenAI
Enverus
Bengaluru, Karnataka, IndiaFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data visualizationStakeholder managementPythonSQLData analysisJira
- Nice to have
- LLMsProduct managementAgile
- Work
- On-site in Bengaluru · internship
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management41%Python9%Data visualization6%SQL5%of 98 similar fresher jobs posted in India this week
- Listed
- 9 Nov 2026 · still open
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About the Role
The Technical Product Intern – GenAI will work at the intersection of product, artificial intelligence, and analytics to help shape AI-powered products. This is a 6-month internship requiring on-site work in the Bangalore office. The role is ideal for individuals who enjoy solving problems with data, experimenting with the latest AI technologies, and rapidly building proof-of-concepts while gaining exposure to AI product development.
Key Responsibilities
- Analyze product usage, AI performance, and customer feedback to identify trends and opportunities.
- Support the creation of Ground Truth datasets and evaluation (Evals) for AI models, prompts, and agent workflows.
- Build lightweight AI prototypes, such as chatbots, AI agents, and workflow automations, to validate product ideas and demonstrate new capabilities.
- Experiment with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows to explore innovative solutions.
- Build dashboards and reports to monitor product adoption, AI performance, and evaluation metrics.
- Assist Product Managers in defining product requirements, documenting user stories, and validating new features.
- Research emerging AI technologies and evaluate their applicability to product development.
- Present insights, prototype demonstrations, and recommendations to technical and business stakeholders.
Requirements & Tech Stack
- Strong analytical and problem-solving skills.
- Hands-on programming experience in Python (mandatory).
- Knowledge of SQL and data analysis.
- Working knowledge of JIRA/Confluence.
- Understanding of Generative AI, Large Language Models (LLMs), and modern AI applications.
- Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows.
- Familiarity with APIs and integrating AI models into lightweight applications.
- Experience with data visualization tools such as Power BI, Tableau, or similar.
- Strong communication and presentation skills.
- Strong product mindset with the ability to think from a user and customer perspective.
Preferred Qualifications
- Academic or personal projects involving AI applications, product analytics, or automation.
- Experience building chatbots, AI assistants, or agent-based applications.
- Exposure to AI evaluation frameworks and benchmarking LLM performance.
- Familiarity with vector databases, embeddings, and semantic search.
- Basic understanding of Agile product development, user stories, and product lifecycle concepts.