If you’re passionate about AI and want to gain hands-on experience in Generative AI, LLMs, and enterprise AI solutions, the AI Intern role at Black Box is an excellent opportunity 🚀.
This internship offers exposure to end-to-end AI solution development, including data pipelines, model integration, backend and frontend interfaces, automated testing, and deployment on Azure AI platforms. Interns will learn to operationalize AI models for real business applications while working alongside experienced AI engineers in a collaborative environment.
Whether you aspire to become a Machine Learning Engineer, Data Scientist, or AI Solution Architect, this role provides practical experience to build a strong foundation in generative AI and enterprise AI deployment.
About the Company
Black Box is an innovative AI technology startup focused on delivering cutting-edge AI solutions across business workflows. Specializing in Generative AI, LLMs, and AI-powered automation, the company empowers enterprises to integrate intelligent systems efficiently while ensuring reliability, scalability, and compliance.
By joining Black Box, interns gain exposure to state-of-the-art AI tools and cloud technologies, working in a fast-paced environment that encourages problem-solving, creativity, and technical growth.
Role Overview
As an AI Intern, you will support the development, integration, and operationalization of AI models, with a focus on Generative AI and LLMs. You will assist in building data pipelines, implementing backend services, integrating AI into user interfaces, testing AI outputs, and managing deployment workflows.
This role ensures interns gain holistic exposure to AI engineering, bridging the gap between research models and enterprise-ready solutions.
Key Responsibilities
End-to-End AI Solution Development
- Build data pipelines for AI consumption, including ETL and preprocessing
- Integrate foundational AI models like GPT, BERT, and RAG-based solutions
- Implement backend APIs and services to support AI systems
- Develop or adapt frontend interfaces for seamless AI interaction
- Ensure scalability and security for deployed AI models
Handover & Knowledge Transfer
- Contribute to detailed documentation of AI workflows for smooth team handovers
- Participate in collaborative knowledge-sharing sessions
Quality Assurance and Testing
- Design and execute testing protocols for model reliability and accuracy
- Implement automated QA workflows for data processing, models, and APIs
- Debug issues and document fixes during development cycles
Deployment & Operationalization
- Manage production deployment workflows using Azure AI tools
- Monitor AI model performance and implement updates as required
- Document lifecycle management, version control, and retraining protocols
Innovation & Self-Development
- Stay updated on foundational AI models, RAG, and Azure AI offerings
- Suggest innovative solutions to enhance AI workflow effectiveness
- Take ownership of assigned AI projects with minimal supervision
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Required Skills
Technical Skills
- Proficiency in Python for AI scripting and data handling
- Experience with Azure AI services and deployment tools
- Data pipeline development, ETL, and preprocessing
- Backend development frameworks (Flask/Django) and API integration
- QA processes and testing frameworks
Soft Skills
- Self-starter with initiative and problem-solving mindset
- Strong written and verbal communication for documentation and collaboration
- Adaptability across multiple AI engineering tasks
- Team player with attention to detail and learning agility
Preferred Skills
- Familiarity with RAG (Retrieval-Augmented Generation) techniques
- Knowledge of prompt engineering to optimize AI outputs
- Predictive modeling experience (supervised/unsupervised learning)
- Frontend frameworks (React, Angular, Vue) and UI/UX integration
- Cloud knowledge for scalable AI deployment, preferably Azure
- Basic understanding of AI compliance, governance, and documentation
Who Can Apply
- Students or graduates passionate about AI, ML, and Generative AI
- Individuals looking for hands-on experience with enterprise AI systems
- Candidates eager to learn full-stack AI engineering: data pipelines → model deployment → frontend integration
Stipend / Salary (Market Estimate) 💰
Since the exact stipend is not disclosed, here’s a realistic estimate based on similar AI/ML intern roles in India:
💵 ₹15,000 – ₹25,000 /month (Expected Range)
This may vary based on skills, experience, project complexity, and performance during the internship
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Perks & Learning Opportunities
- Real-world experience in Generative AI, LLMs, and enterprise AI
- Exposure to Azure AI, RAG pipelines, and AI operationalization
- Hands-on backend, frontend, and data engineering experience
- Mentorship from experienced AI engineers
- Opportunity to contribute to production-ready AI solutions
How to Apply
- Highlight any AI, ML, or data engineering projects in your resume
- Showcase experience with Python, Azure, or backend APIs
- Demonstrate understanding of AI concepts, LLMs, and prompt engineering
- Prepare to discuss hands-on projects or prototypes in AI development
👉 Apply by clicking the button below and submit your resume with relevant AI/ML experience.
Final Thoughts
The Black Box AI Internship is an outstanding opportunity to gain practical AI engineering experience, especially in Generative AI and LLMs. Interns will learn how to bridge the gap between theoretical AI models and enterprise deployment, gaining critical skills that will accelerate their career in AI, ML, or Data Science.
Disclaimer
This job information is collected from official and public sources. No fees are charged for applications, and no recruitment guarantee is provided. Applicants are encouraged to verify details via the official company channels. We are not responsible for any loss arising from reliance on this information.
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