Black Box AI Engineer Intern 2026 | Generative AI & LLM Jobs | Bangalore | Apply Online

⏱️ 8 min read | 🤖 Generative AI | 🎓 Fresher Internship ✅ Last Updated: July 29, 2026
Quick Summary:
  • Company: Black Box Corporation
  • Role: AI Engineer Intern
  • Team: AI Center of Excellence (CoE)
  • Location: Manyata Tech Park, Bengaluru — On-Site
  • Job ID: 6505
  • Duration: 12 Months (Full-Time)
  • Eligibility: B.E./B.Tech 2025/2026 batch — CS, AI, Data Science, ECE
  • Key Skills: Python, Generative AI, LLMs, RAG, LangChain, Azure, FastAPI
  • Stipend: Competitive (not officially disclosed)
  • Conversion: Full-time role based on performance

Black Box Corporation is hiring AI Engineer Interns at their AI Center of Excellence (CoE) in Manyata Tech Park, Bengaluru. This 12-month internship puts you at the cutting edge of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) — building real enterprise AI solutions for global clients across ServiceNow, SAP, Salesforce, and Azure. If you want to launch a career in GenAI and work on production systems used by Fortune 500 companies, this is one of the best internship opportunities in Bangalore right now.

🏢 CompanyBlack Box Corporation
🤖 RoleAI Engineer Intern
🏛️ TeamAI Center of Excellence (CoE)
📍 LocationManyata Tech Park, Bengaluru (On-Site)
⏳ Duration12 Months (Full-Time)
🎓 EligibilityB.E./B.Tech — 2025 & 2026 Batch
💰 StipendCompetitive (not disclosed — shared with selected)
🆔 Job ID6505
🔄 ConversionFull-Time Role (Performance Based)

Why This Internship Stands Out

  • Generative AI + LLM work from Day 1
  • Enterprise AI — SAP, Salesforce, ServiceNow
  • 12-month deep GenAI experience
  • Manyata Tech Park — Bangalore's top IT hub
  • Full-time conversion potential
  • LangChain, RAG, n8n — future-proof skills
  • Mentorship by senior AI Architects

Things to Consider

  • Stipend not officially disclosed
  • Strictly on-site — Bangalore only
  • Full-time conversion not guaranteed
  • High skill bar — Python + AI needed

🛡️ Content Review & Verification

Reviewed By: Pavan (Career Content Analyst) — 300+ Job Articles Published
Last Fact Checked: July 29, 2026 | Source: Black Box Careers Portal (Job ID 6505), FreshersHunt, FoundTheJob

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🏢 About Black Box Corporation

Black Box Corporation is a US-headquartered IT services company operating in 75 locations across 35+ countries. In India, their AI Center of Excellence (CoE) in Bangalore focuses on cutting-edge Generative AI and enterprise automation solutions. Black Box serves clients across retail, government, transportation, education, and public safety sectors globally.

HeadquartersCanonsburg, Pennsylvania, USA
India AI CoEManyata Tech Park, Bengaluru
Global Presence75 Locations · 35+ Countries
Key FocusGenAI, LLMs, Enterprise AI, IT Infrastructure
Enterprise ClientsServiceNow, SAP, Salesforce, Azure integrations
Official Websiteblackbox.com

🤖 AI Tech Stack You'll Work With

🐍PythonCore Language
🧠LLMsGPT / Claude / Gemini
🔗LangChainLLM Orchestration
📄RAGRetrieval-Augmented Gen
FastAPIAPI Development
☁️AzureCloud Platform
🔄n8nWorkflow Automation
🏢ServiceNowEnterprise Integration
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👤 Who Should Apply?

✅ B.E./B.Tech CS/AI/Data Science (2025/2026)
✅ Electronics students with software interest
✅ Strong Python fundamentals
✅ Interest in Generative AI / LLMs
✅ Final-year / recently graduated freshers
✅ Willing to work on-site in Bangalore
❌ No Python knowledge at all
❌ Non-technical graduates
❌ WFH seekers — strictly on-site
❌ 2+ years work experience (FTE roles available)

💻 Roles & Responsibilities

As an AI Engineer Intern at Black Box AI CoE, you will work on real enterprise Generative AI products. Your work will include:

  • LLM Development: Build solutions leveraging pre-trained Large Language Models (GPT, Claude, Gemini) for chat interfaces and enterprise data retrieval.
  • RAG Implementation: Support Retrieval-Augmented Generation (RAG) pipelines connecting LLMs with enterprise data sources via vector databases.
  • AI Agent Building: Develop and test AI agents using LangChain and n8n for automated workflows and task execution.
  • Backend API Development: Build REST APIs using FastAPI or Flask to expose AI capabilities to enterprise applications.
  • Enterprise Integrations: Integrate AI solutions with ServiceNow, SAP, Salesforce, and Azure platforms.
  • Data Processing: Preprocess, clean, and transform data for AI model consumption.
  • Testing & Debugging: Test and debug AI models, pipelines, and API integrations.
  • Documentation: Document AI workflows, integration processes, and technical specifications.

🎓 Eligibility Criteria

  • Degree: B.E./B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, Machine Learning, Electronics, or related fields.
  • Batch: 2025 or 2026 pass-out (final-year students or recently graduated). 0-1 year of experience acceptable.
  • Python: Basic to intermediate Python programming ability — a must. You will be coding from Week 1.
  • AI Interest: Genuine interest in Generative AI, LLMs, and machine learning fundamentals required.
  • Location: Must be willing to work on-site at Manyata Tech Park, Bengaluru full-time.
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🛠️ Skills Required

Must Have Skills:

Python Programming Generative AI Basics LLM Fundamentals REST APIs Flask / FastAPI Machine Learning Basics

Good to Have Skills:

LangChain RAG Architecture Azure Cloud n8n / Workflow Automation Vector Databases (Pinecone/ChromaDB) TensorFlow / PyTorch Docker Basics
SkillLevel RequiredImportance
Python (OOP, Functions, Libraries)IntermediateMust Have
Generative AI / LLM ConceptsBasic – IntermediateMust Have
REST API (Flask / FastAPI)BasicMust Have
Machine Learning BasicsAwarenessMust Have
LangChainBasic ExposureGood to Have
RAG PipelineConceptualGood to Have
Azure / CloudAwarenessGood to Have
Vector DatabasesAwarenessGood to Have

📋 ATS Resume Keywords — Copy These

Python Programming Generative AI Large Language Models LLM Fine-tuning RAG Architecture LangChain FastAPI REST API Development Machine Learning Natural Language Processing Azure OpenAI Prompt Engineering AI Agent Development Vector Database

💰 Stipend Breakdown

Black Box has not officially disclosed the AI Engineer Intern stipend. Based on industry benchmarks for GenAI internships in Bangalore (July 2026):

Monthly Stipend (Industry Estimate)₹30,000 – ₹50,000/month
Annual Equivalent~₹3.6 LPA – ₹6 LPA
Duration12 Months
Conversion (if offered)₹5 LPA – ₹8 LPA (FTE estimate)
Total Estimated Stipend₹3.6 LPA – ₹6 LPA (equivalent)

*Estimate: Based on Glassdoor, AmbitionBox, and AI internship benchmarks in Bangalore (July 2026). Official stipend shared only with selected candidates.

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📊 Selection Process

1 Online Application
2 Resume Screening
3 Online Assessment (Python + AI/ML)
4 Technical Interview (GenAI, LLMs, RAG)
5 HR Interview
6 Offer → Join

Round 1 — Online Assessment: Python coding (basic to intermediate) + AI/ML MCQs. Round 2 — Technical Interview: Discuss GenAI concepts, LLM use cases, RAG, your Python projects, and how you'd solve a real AI problem. Round 3 — HR: Mindset, ownership, willingness to learn, and cultural alignment.

🧠 How to Prepare

📌 Black Box AI Engineer Intern — Prep Checklist

  • Python (Must): Be comfortable writing functions, classes, file I/O, and working with popular libraries — NumPy, Pandas, Requests. Practice Python coding on HackerRank (easy to medium). Know OOP deeply.
  • GenAI Fundamentals: Understand what an LLM is, how it differs from traditional ML, what tokens are, what temperature/top-p do. Read the OpenAI API docs and experiment with basic prompts.
  • RAG Basics: Learn what Retrieval-Augmented Generation is — LLM + vector search + context injection. Build a simple RAG demo using LangChain + ChromaDB + OpenAI (free tier) and put it on GitHub.
  • FastAPI: Build a basic REST API with FastAPI — POST endpoint that takes text and returns an LLM response. This exact demo will impress Black Box interviewers.
  • Resume: Add a "GenAI Projects" section. Even a chatbot over a PDF document counts. Mention LangChain, FastAPI, OpenAI, Python — all of these appear in Black Box's ATS filters.
  • LangChain: Complete the official LangChain quickstart tutorial. Know what a chain, agent, and tool are. Conceptual understanding is enough — you'll learn the rest on the job.

📚 Preparation Resources

💬 Expected Interview Questions

Q1. What is the difference between a traditional ML model and a Large Language Model (LLM)?
💡 Hint: Traditional ML = trained on task-specific data, narrow purpose (classification, regression). LLM = trained on massive text corpora using transformer architecture, can handle diverse NLP tasks via prompting. Key: LLMs are generalist, pre-trained, and fine-tunable.
Q2. Explain Retrieval-Augmented Generation (RAG). When would you use it over fine-tuning?
💡 Hint: RAG = LLM + vector search. You embed documents, store in a vector DB, retrieve relevant chunks at query time, inject into LLM prompt. Use RAG when data changes frequently. Use fine-tuning when you need the model to behave differently or learn domain style.
Q3. Write a Python function to call an API and return the response as a dictionary.
💡 Hint: Use the requests library. response = requests.get(url, headers=headers), then return response.json(). Always add error handling with response.raise_for_status() and a try/except block.
Q4. What is LangChain and what problem does it solve?
💡 Hint: LangChain is a framework for building LLM-powered applications. It solves: chaining multiple LLM calls, connecting LLMs to external tools/APIs, managing conversation memory, and building agents that can decide which tool to use. Think of it as "plumbing" for GenAI apps.
Q5. How would you build a chatbot that answers questions about a company's internal documents?
💡 Hint: Classic RAG architecture. 1) Load and chunk documents, 2) Embed chunks using an embedding model, 3) Store in vector DB (ChromaDB/Pinecone), 4) At query time: embed user question, retrieve top-k similar chunks, 5) Inject chunks into LLM prompt as context, 6) Return LLM answer. Mention LangChain for orchestration.
HR: Why AI engineering specifically, and why Black Box?
💡 Hint: Be genuine. Mention the enterprise AI impact — Black Box's clients use these tools in production at scale. "I want to work where AI solves real business problems, not just demos." Mention LangChain/RAG skills you've been building and why the 12-month deep dive appeals to you.

🎁 Benefits of Black Box AI Internship

🤖Real GenAI Project Work
🏢Enterprise AI Exposure
🎓AI Architect Mentorship
💰Competitive Stipend
🔄Full-Time Conversion Option
🌍Global Client Projects
🛠️LangChain + RAG + Azure
📄LOR & Experience Letter

📝 How to Apply

Step 1: Visit Black Box Careers Portal

Click the Apply Now button below. You'll be directed to Black Box's Oracle HCM careers portal. Search for Job ID 6505 or "AI Engineer Intern."

Step 2: Create Your Profile

Register on the Oracle HCM portal with your email. Fill in your academic details accurately — degree, branch, graduation year, and percentage/CGPA.

Step 3: Upload ATS-Optimized Resume

Include Python projects, any GenAI work (even tutorials count), REST API experience, and your GitHub link. Mention LangChain, FastAPI, and any AI tools you've explored. Use keywords from the ATS box above.

Step 4: Await Online Assessment

After application review, you'll receive an online assessment link via email. The assessment covers Python coding and AI/ML fundamentals. Practice Python on HackerRank before you apply.

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❓ People Also Ask (FAQs)

Is Black Box AI Engineer Intern 2026 for freshers?

Yes. The role is open to final-year B.E./B.Tech students and 2025/2026 batch freshers in CS, AI, Data Science, Electronics, and related fields. 0–1 year of experience is acceptable.

What is the stipend for Black Box AI Engineer Intern?

Not officially disclosed. Based on industry benchmarks for GenAI internships in Bangalore, the estimated stipend is ₹30,000–₹50,000 per month (₹3.6–6 LPA equivalent). The exact amount is shared only with selected candidates.

What is the location for Black Box AI Engineer Intern?

Manyata Tech Park, Bengaluru, Karnataka — strictly on-site. The role requires full-time in-person presence at the AI Center of Excellence.

What skills are needed for Black Box AI Engineer Intern?

Required: Python, Generative AI basics, LLM fundamentals, REST APIs (Flask/FastAPI). Good to have: LangChain, RAG pipeline, Azure cloud, n8n, vector databases (ChromaDB/Pinecone), TensorFlow/PyTorch basics.

What is the selection process for Black Box AI Intern?

3 rounds: Online Assessment (Python + AI/ML basics) → Technical Interview (GenAI, LLMs, RAG, Python project discussion) → HR Interview (learning mindset, ownership, cultural fit).

How long is the Black Box AI Internship?

12 months, full-time, on-site at Manyata Tech Park, Bangalore. Interns with strong performance are considered for conversion to full-time AI Engineer roles.

Which branches are eligible for Black Box AI Intern?

B.E./B.Tech in CS, IT, AI, Data Science, Machine Learning, Electronics, and related engineering fields. MCA may also be considered depending on the batch and skills.

Can Black Box AI Intern convert to full-time?

Yes. The role explicitly states conversion potential to a full-time position based on performance. Black Box's AI CoE is actively expanding, making this a strong conversion opportunity for high performers.

What is Black Box Corporation known for?

Black Box is an IT services company operating in 35+ countries, known for enterprise IT infrastructure, networking, and their growing AI Center of Excellence in Bangalore focusing on GenAI and LLM solutions for Fortune 500 clients.

How to apply for Black Box AI Engineer Intern 2026?

Apply via the Black Box Oracle HCM careers portal using Job ID 6505. Use the Apply Now link at the bottom of this page. Upload your resume with Python projects, any GenAI or LangChain work, and your GitHub profile.


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✅ Official Application Link

Apply directly on the Black Box careers portal using the link below.

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Disclaimer

This post is for informational purposes only. We are not affiliated with Black Box Corporation. Always verify current job status on the official careers portal before applying. Stipend figures are estimates based on industry benchmarks.

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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