Technical Product Intern GenAI 2026 | AI Product Management Jobs | Bangalore

⏱️ 7 min read | 🤖 GenAI Product | 🎓 Fresher Internship ✅ Last Updated: July 31, 2026
Quick Summary:
  • Company: Enverus (formerly Drillinginfo)
  • Role: Technical Product Intern – AI & GenAI
  • Department: Product Development
  • Location: Bangalore, India (On-Site)
  • Job ID: 26297 / oKexAfwP
  • Duration: 6 Months
  • Key Skills: Python (Mandatory), SQL, LLMs, RAG, Prompt Engineering, Power BI
  • Focus: Intersecting product management, AI experimentation, and analytics

Enverus is looking for an analytical and driven Technical Product Intern – AI & GenAI to join their Product Development team in Bangalore. In this 6-month on-site internship, you will operate at the exciting intersection of product management, artificial intelligence, and analytics. If you are passionate about evaluating LLM performance, building lightweight AI prototypes, and shaping the future of energy SaaS using AI agents and Retrieval-Augmented Generation (RAG), this is the perfect launchpad for your career in tech product management.

🏢 CompanyEnverus (formerly Drillinginfo)
🤖 RoleTechnical Product Intern – GenAI
🏛️ TeamProduct Development
📍 LocationBangalore, India (On-Site)
⏳ Duration6 Months
🎓 RequirementPython programming, Data Analysis, Product mindset
💰 StipendCompetitive (Industry Standards for AI)
🆔 Job ID26297

Why This Internship Stands Out

  • Work directly with cutting-edge LLMs and RAG architectures
  • Gain dual exposure to AI Engineering and Product Management
  • Build real-world dashboards and Ground Truth Evals for production AI
  • Opportunity to prototype chatbots and agentic workflows
  • Work in the leading energy-dedicated SaaS company globally

Things to Consider

  • Strictly requires hands-on Python programming knowledge
  • Mandatory 6-month on-site presence in Bangalore
  • Fast-paced environment requiring both technical and business acumen

🛡️ Content Review & Verification

Reviewed By: Pavan (Career Content Analyst)
Last Fact Checked: July 31, 2026 | Source: Enverus Jobvite Careers Portal

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🏢 About Enverus

Enverus is the most trusted, energy-dedicated SaaS company worldwide. With a platform built to maximize value from generative AI, analytics, and rich data, they empower customers to make energy more affordable, reliable, and accessible. The Bangalore Product Development hub is central to researching and integrating emerging GenAI technologies into their core enterprise products.

🤖 AI & Product Tech Stack

🐍PythonMandatory Coding
🧠LLMsPrompting & Evals
📊Power BI / TableauData Visualization
📄RAGSemantic Search
🗄️SQLData Analysis
🤖Agentic WorkflowsAI Automation
📋Jira / ConfluenceAgile Tools
🔌APIsModel Integration
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👤 Who Should Apply?

✅ B.E./B.Tech/B.Sc in CS, IT, or Data Science
✅ Aspiring Technical Product Managers (PMs)
✅ Strong Python Coders with AI interest
✅ Students with personal GenAI/Chatbot projects
✅ Available for a 6-month on-site stint in Bangalore
❌ Candidates with zero coding/Python experience
❌ Remote-only seekers
❌ Pure business/MBA students with no technical background

💻 Key Responsibilities

As a Technical Product Intern, your day-to-day will blend technical implementation with product strategy:

  • AI Evaluation: Support the creation of Ground Truth datasets and run evaluations (Evals) for AI models, prompts, and agent workflows.
  • Prototyping: Build lightweight AI prototypes (e.g., chatbots, AI agents, workflow automations) to validate product ideas for stakeholders.
  • Data Analytics: Analyze product usage, customer feedback, and AI performance using SQL to identify adoption trends.
  • Dashboards: Build tracking reports and dashboards in Power BI or Tableau to monitor AI evaluation metrics.
  • Product Management Support: Assist PMs by defining product requirements, writing user stories in Jira, and validating new features.
  • Experimentation: Test Retrieval-Augmented Generation (RAG) approaches, tweak prompts, and explore agentic workflows.

🛠️ Required Skills & Qualifications

Mandatory Requirements:

Python Programming (Hands-on) SQL & Data Analysis Generative AI & LLMs Product Mindset Analytical Problem Solving

Preferred / Good to Have:

Power BI / Tableau Prompt Engineering RAG Architecture Jira / Confluence (Agile) Vector Databases & Embeddings API Integration

📋 ATS Resume Keywords — Ensure you include these

Python Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Agentic Workflows SQL Data Analysis Power BI Jira / Agile User Stories Product Analytics

💰 Stipend Breakdown

While Enverus has not officially disclosed the stipend for this GenAI internship, based on industry benchmarks for Technical Product/AI Interns in Bangalore:

Monthly Stipend (Estimate)₹25,000 – ₹40,000/month
Duration6 Months (Full-Time)
LocationBangalore (On-Site)

*Note: The exact stipend is shared directly with shortlisted candidates by Enverus HR.

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🧠 How to Prepare

📌 Enverus Tech Product Intern — Prep Checklist

  • Python + APIs: Brush up on using Python to interact with LLM APIs (e.g., OpenAI, Anthropic). Be able to write a simple script that passes a prompt and returns a response.
  • Product Analytics: Practice writing SQL queries (Joins, Group By, Windows functions). Think about how you would track the success of a new AI chatbot (Metrics like: user retention, task completion rate, thumbs up/down).
  • GenAI Concepts: Clearly understand the difference between Fine-tuning and RAG. Know what vector embeddings are and how semantic search works.
  • Showcase Projects: If you have built a Streamlit app, a LangChain chatbot, or analyzed a dataset in Tableau/Power BI, feature it heavily on your resume.

💬 Expected Interview Questions

Q1. How would you evaluate the performance of an LLM in a customer support chatbot?
💡 Hint: Talk about "Ground Truth Evals". Mention comparing LLM outputs against human-verified answers using metrics like similarity scores, hallucination rates, and user feedback (explicit and implicit).
Q2. What is RAG (Retrieval-Augmented Generation) and why do enterprise products need it?
💡 Hint: Explain that LLMs hallucinate and lack private data. RAG retrieves relevant private data (using vector databases) and injects it into the prompt, giving the model factual context to answer accurately.
Q3. If a newly launched AI feature has low adoption, how would you use SQL and Power BI to investigate?
💡 Hint: Show product mindset. First, query user logs in SQL to see *where* users drop off. Visualize the funnel in Power BI. Check if it's a discoverability issue or a performance issue (high latency, bad answers).
Q4. Write a Python script to call a REST API and extract a specific nested field from the JSON response.
💡 Hint: Demonstrate your hands-on coding. Use the requests library, handle the JSON parsing, and gracefully handle potential API errors.

📝 How to Apply

Step 1: Access the Jobvite Portal

Click the official application link below to visit the Enverus Jobvite careers portal (Job ID: 26297 / oKexAfwP).

Step 2: Tailor Your Resume

Highlight your Python skills, any AI/LLM personal projects, SQL knowledge, and your understanding of product management (user stories, Agile).

Step 3: Submit Application

Fill out the application form completely and await communication from the Enverus recruitment team regarding the initial screening.

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❓ People Also Ask (FAQs)

Is the Enverus Technical Product Intern role technical?

Yes, highly technical. The role mandates hands-on Python programming, SQL querying, and practical knowledge of building AI prototypes and integrating APIs.

What is the duration of the internship?

This is a 6-month internship requiring full-time engagement from the Enverus office in Bangalore.

What does a Technical Product Manager do in AI?

They sit between engineering and business. They define what AI features to build, evaluate if the AI models are accurate enough (using Evals), monitor adoption using data, and build prototypes to validate ideas quickly.

Is this a remote opportunity?

No, the job description specifies that it requires working from the Bangalore, India office.

What is the main requirement for this GenAI role?

A strong blend of analytical skills (SQL, Power BI), programming (Python), knowledge of GenAI (LLMs, RAG, prompt engineering), and an understanding of Agile product development.


Post Tags:
Enverus Careers Technical Product Manager Intern GenAI Internships Bangalore LLM Engineer Jobs Freshers AI Product Management Jobs Python AI Jobs Freshers Machine Learning Fresher Jobs Data Analytics Internship 2026

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✅ Official Application Link

Apply directly on the Jobvite careers portal for Enverus using the link below.

Apply Now for Enverus Technical Product Intern – GenAI

Disclaimer

This post is for informational purposes only. We are not affiliated with Enverus or Drillinginfo. Always verify current job status and details on the official careers portal before applying.

P
Pavan Career Content Analyst | Latest Fresher Jobs

✍️ 300+ Job Articles Published  |  📅 5+ Years Researching Hiring Trends
Specialized in IT, AI, Data Analytics, and Off-Campus Recruitment.

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