Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will learn and contribute to the design, development, and integration of AI-driven solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role provides hands-on exposure to Generative AI, enterprise integrations, and end-to-end AI solution development, including backend services, data pipelines, AI orchestration, and basic user interfaces. You will work closely with experienced AI engineers and gain practical experience on real-world enterprise AI use cases.
Key Responsibilities
AI & Generative AI Development
Assist in building AI solutions using pre-trained LLMs for chat, summarization, and information retrieval.
Support RAG-based implementations connecting LLMs with structured and unstructured enterprise data.
Help develop and test basic ML models, AI agents, and rule-based logic under guidance.
Learn and support AI orchestration using tools such as LangChain and n8n.
Full-Stack & Enterprise Integration
Assist in building simple user interfaces for AI-enabled applications.
Support backend API development using Python frameworks.
Help integrate AI components with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.
Data, Testing & Deployment
Support data preparation, preprocessing, and quality checks for AI solutions.
Assist with testing, debugging, and deployment of AI services.
Help document AI workflows, integrations, and development processes.
Learning & Collaboration
Learn enterprise AI best practices through hands-on work and mentorship.
Collaborate with AI, data, and platform teams on assigned modules.
Gradually take ownership of tasks as skills and confidence grow.
Eligibility Requirements
Currently pursuing a Bachelor’s degree in Engineering (Computer Science, AI, Data Science, Electronics, or related fields).
Must be in the final year of the program with approximately 12 months remaining before graduation.
Available for a full-time, on-site 12-month internship in Bangalore.
Strong interest in AI, Machine Learning, and Generative AI.
Required Technical Skills
Programming: Basic to intermediate knowledge of Python.
AI Fundamentals: Understanding of machine learning and introductory Generative AI concepts.
Data Basics: Familiarity with structured/unstructured data and basic data preprocessing.
Backend Basics: Exposure to backend development using frameworks such as Flask or FastAPI.
APIs: Understanding of REST APIs and basic integration concepts.
Cloud Awareness: Introductory familiarity with Azure or other cloud platforms.
Required Soft Skills
Strong learning mindset and curiosity for AI technologies.
Willingness to take ownership of tasks with guidance.
Clear communication and ability to work in a team environment.
Analytical thinking and problem-solving attitude.
Preferred Skills / Experience
Academic projects or coursework involving ML, NLP, or Generative AI.
Exposure to LLMs, prompt engineering, or RAG through projects or internships.
Familiarity with frontend technologies such as React or basic web development.
Awareness of responsible AI concepts.
Exposure to low-code or automation tools (e.g., Microsoft Power Platform).
What You Will Gain
Hands-on experience building enterprise-grade AI solutions.
Exposure to end-to-end AI engineering workflows.
Mentorship from experienced AI engineers and architects.
Strong preparation for conversion into a full-time AI Engineer role.