Black Box is hiring for the role of AI Intern in Bangalore, Karnataka. This is an excellent opportunity for final-year engineering students who want to build a career in Artificial Intelligence, Machine Learning, and Generative AI. The internship is designed for students who still have approximately one academic year remaining before graduation and are available for a full-time 12-month onsite internship.
What makes this opportunity especially attractive is the exposure to enterprise-grade AI systems rather than just academic projects. Interns will work inside Black Box’s AI Center of Excellence (CoE), contributing to real-world AI products involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), backend APIs, enterprise integrations, and cloud platforms.
If you are someone who has already experimented with tools like OpenAI API, LangChain, FastAPI, or built ML projects using Python, this internship can significantly strengthen your resume.
About the Company
Black Box is a global technology solutions provider focused on helping enterprises modernize infrastructure and accelerate digital transformation. The company operates in more than 24 countries with over 2,500 employees and is a wholly owned subsidiary of AGC Networks.
Black Box is currently expanding its AI Center of Excellence, a strategic division focused on building secure and scalable enterprise AI systems. The CoE works on deploying AI across multiple business domains, enabling automation, intelligent decision-making, and productivity improvements.
Role Overview
As an AI Engineer Intern, you will support the design and implementation of AI-powered enterprise solutions. This role combines AI engineering with backend development, API integration, data preparation, and deployment.
You will not be limited to only training models. Instead, you’ll gain exposure to the complete AI engineering lifecycle:
- Data ingestion and preprocessing
- Prompt engineering
- LLM orchestration
- RAG pipelines
- API integrations
- Deployment and monitoring
- Basic frontend interaction layers
This makes the internship highly valuable for students aiming for roles like:
- AI Engineer
- ML Engineer
- Generative AI Developer
- Applied AI Engineer
- LLM Engineer
Salary / Stipend Estimate 💰
Official stipend: Not disclosed by Black Box
Estimated stipend: ₹20,000 – ₹35,000/month
This estimate is based on:
- Typical AI internship compensation in Bangalore
- 12-month onsite engineering internships at enterprise companies
- Skill requirements involving GenAI, Python, APIs, RAG, and cloud technologies
If converted into a full-time AI Engineer role after internship, expected fresher salary could be around:
Estimated Full-Time Salary: ₹6 LPA – ₹12 LPA
Key Responsibilities
During the internship, selected candidates may work on the following:
- Assist in building AI applications using pre-trained LLMs for chat, summarization, and retrieval tasks
- Support RAG implementations connecting LLMs to structured and unstructured enterprise data
- Help build and test AI agents and rule-based automation workflows
- Learn AI orchestration tools such as LangChain and n8n
- Develop backend APIs using Python frameworks like Flask or FastAPI
- Support integration with enterprise systems such as:
- ServiceNow
- SAP
- Salesforce
- Azure services
- Assist in data cleaning and preprocessing pipelines
- Help with testing, debugging, and deployment of AI services
- Document workflows and integration architecture
This is ideal for students who want practical exposure to production AI systems rather than purely research-based ML work.
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Who Can Apply?
| Criteria | Details |
|---|---|
| Education | Bachelor’s in CSE, AI, Data Science, Electronics, or related fields |
| Academic Status | Final year students with ~12 months before graduation |
| Location | Must be available onsite in Bangalore |
| Internship Duration | 12 months |
| Experience | Freshers / Students |
| Eligibility | Strong interest in AI & ML |
Required Skills
Black Box expects strong fundamentals rather than industry-level expertise.
Technical Skills
- Python programming
- Machine Learning basics
- Generative AI fundamentals
- Data preprocessing
- REST APIs
- Backend frameworks (Flask/FastAPI)
- Basic cloud knowledge (preferably Azure)
AI Skills
Knowledge of the following will help:
- LLMs
- Prompt engineering
- Vector databases
- RAG pipelines
- Embeddings
- NLP basics
Soft Skills
- Strong learning mindset
- Curiosity about AI
- Problem-solving ability
- Team collaboration
- Good communication
Preferred Skills
Candidates with project experience in these areas will stand out:
- AI chatbot projects
- RAG applications
- LLM-powered assistants
- ML/NLP coursework
- React or frontend basics
- Cloud deployments
- Automation tools like Power Platform
Even personal GitHub projects can strengthen your application significantly.
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What You’ll Get
This internship offers more than just a certificate.
You will gain:
- Real-world enterprise AI exposure
- Hands-on work with production-grade GenAI systems
- Mentorship from experienced AI engineers
- Understanding of end-to-end AI pipelines
- Strong resume value for AI roles
- Potential conversion to full-time AI Engineer
A 12-month internship also gives you enough time to build meaningful experience instead of short-term exposure.
How to Apply
To improve your chances:
- Highlight AI/ML projects in your resume
- Include GitHub links for ML or GenAI work
- Mention projects using:
- Python
- LLMs
- RAG
- APIs
- FastAPI / Flask
- Practice explaining your projects clearly
- Prepare basics of ML, NLP, embeddings, and prompt engineering
Apply by clicking the button below and ensure your resume emphasizes practical AI implementation, not just coursework.
Disclaimer: This job/internship information is collected from official/public sources for informational purposes only. We do not charge any fees, do not guarantee recruitment or selection, and are not responsible for any loss or decisions made based on this information.
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