BlackBox is offering an exciting opportunity for aspiring AI professionals through its AI Engineer Internship program in Bangalore. This role is designed for candidates who are eager to work with cutting-edge Generative AI technologies, including Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), and conversational AI systems. As an intern, you will gain hands-on experience in building, deploying, and operationalizing scalable AI solutions within an enterprise environment while working closely with experienced AI engineers and cross-functional teams.
About BlackBox
BlackBox is a global digital infrastructure and services company that helps organizations accelerate innovation through advanced technologies. With a strong focus on AI, cloud, data, and automation, BlackBox delivers enterprise-grade solutions that enable businesses to modernize operations and drive efficiency. The company emphasizes innovation, ownership, and continuous learning, making it an ideal environment for interns looking to build real-world AI expertise.
Internship Overview
The AI Engineer Intern role focuses on end-to-end AI solution development, from data engineering and model integration to deployment and monitoring. Interns will actively contribute to production-ready AI systems using Azure AI services while also supporting documentation, testing, and knowledge transfer. This role provides a comprehensive exposure to the full AI lifecycle in a real enterprise setting.
Key Responsibilities
- Develop end-to-end AI solutions including data pipelines, model integration, and deployment
- Build and manage data pipelines with ETL processes and data preprocessing for AI models
- Integrate foundational AI models such as GPT and BERT using RAG techniques
- Develop backend services and secure API endpoints to support AI applications
- Assist in frontend integration to enable user interaction with AI-powered systems
- Create detailed technical documentation to support handover and knowledge transfer
- Design and execute testing protocols to ensure model accuracy and reliability
- Implement automated testing and QA workflows for pipelines and APIs
- Deploy AI solutions to production using Azure deployment tools
- Monitor model performance and manage AI solution lifecycle including versioning and retraining
- Continuously learn and explore improvements in workflows, models, and AI capabilities
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Required Technical Skills
- Proficiency in Python for AI development, scripting, and data handling
- Experience with Azure AI services and deployment tools
- Knowledge of data engineering concepts including ETL and preprocessing
- Backend development experience using Flask or Django
- Understanding of API development and scalable backend services
- Familiarity with testing frameworks and automated QA processes
Soft Skills
- Ability to work independently and take ownership of assigned tasks
- Strong written and verbal communication skills for documentation and collaboration
- Adaptability to work across data engineering, backend, and testing domains
- Strong problem-solving mindset with a willingness to take initiative
Preferred Skills
- Experience with Retrieval-Augmented Generation (RAG) techniques
- Knowledge of prompt engineering for optimizing generative AI outputs
- Exposure to predictive modeling and traditional ML techniques
- Frontend development experience with React, Angular, Vue, or TypeScript
- Understanding of scalable cloud-based AI deployments, preferably on Azure
- Familiarity with NLP concepts and foundational generative AI models
- Experience with technical documentation and basic AI compliance practices
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Internship Details
| Particulars | Information |
|---|---|
| Company | BlackBox |
| Role | AI Engineer – Intern |
| Location | Bangalore, Karnataka, India |
| Internship Type | Full-time Internship |
| Focus Area | Generative AI, LLMs, Azure AI |
Why Join BlackBox
This internship offers a rare opportunity to work on real, production-level AI systems rather than limited academic projects. You will gain hands-on exposure to Generative AI, enterprise AI deployment, and Azure-based AI services while collaborating with experienced professionals. The role encourages ownership, innovation, and continuous learning, helping you build a strong foundation for a career in AI engineering.
How to Apply
Candidates should prepare a resume highlighting Python skills, AI or ML projects, cloud experience, and any exposure to Generative AI or LLMs. Demonstrating curiosity, problem-solving ability, and willingness to learn will strengthen your application. Apply by clicking the Apply button below and ensure you meet the required skills before submitting your application.
Disclaimer
This website is not affiliated with BlackBox. Job details are based on publicly available information and may change. Candidates should verify details from official BlackBox sources before applying.
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