Enverus is the leading energy SaaS company delivering highly-technical insights and predictive/prescriptive analytics
The Role
Six-month on-site internship in Bangalore working with product, AI, and analytics teams to analyze usage and model performance, build ground-truth datasets and lightweight AI prototypes, experiment with LLMs/RAG/agents, create dashboards, support product requirements, and present insights to stakeholders.
Summary Generated by Built In
Description
About the Role
As a Technical Product Intern - AI & GenAI, you will work at the intersection of product, artificial intelligence, and analytics to help shape AI-powered products. You will collaborate with product managers, engineers, and AI teams to evaluate model performance, analyze product insights, prototype AI solutions, and support the development of new product capabilities.
This role is ideal for someone who enjoys solving problems with data, experimenting with the latest AI technologies, and rapidly building proof-of-concepts while gaining exposure to AI product development. This is a 6-month internship that requires working from our Bangalore office.
Key Responsibilities
Required Skills
Preferred Qualifications
About the Role
As a Technical Product Intern - AI & GenAI, you will work at the intersection of product, artificial intelligence, and analytics to help shape AI-powered products. You will collaborate with product managers, engineers, and AI teams to evaluate model performance, analyze product insights, prototype AI solutions, and support the development of new product capabilities.
This role is ideal for someone who enjoys solving problems with data, experimenting with the latest AI technologies, and rapidly building proof-of-concepts while gaining exposure to AI product development. This is a 6-month internship that requires working from our Bangalore office.
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.
Required Skills
- Strong analytical and problem-solving skills.
- Hands-on programming experience in Python (mandatory).
- Knowledge of SQL and data analysis.
- Working knowled ge 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 wit h the ability to think from a user and customer pers p ective.
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 concept s
Skills Required
- Strong analytical and problem-solving skills
- Hands-on programming experience in Python
- Knowledge of SQL and data analysis
- Working knowledge of JIRA and Confluence
- Understanding of Generative AI and Large Language Models (LLMs)
- Familiarity with prompt engineering, 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 or Tableau
- Strong communication and presentation skills
- Strong product mindset and user/customer perspective
- 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
What the Team is Saying
Michael
Sr. Account Director
Melwyn
Director of Product
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries. Enverus is a portfolio company of Hellman & Friedman and Genstar Capital.
Why Work With Us
We are guided by our Core Values: One Team, Partners for Life, Courageous Innovation. Our goal is to foster a culture that’s inclusive, fun and encourages our teammates to grow, personally and professionally. At Enverus, we are a family, and our people will always be our most important asset.
Gallery
Enverus Offices
Remote Workspace
Employees work remotely.
Typical time on-site:
None
