AI Engineer Intern : Global Technology Delivery
Dnyanasha Technology Solutions · Pune · onsite · Posted 18d ago
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About this role
JOB DESCRIPTION
AI ENGINEER INTERN FULL-STACK AI
Department: Artificial Intelligence / Engineering / Product Development
Role: AI Engineer Intern Full-Stack AI
Employment Type: Full-Time Internship
Work Mode: 100% Work From Office (WFO)
Reporting To: AI Lead / Technical Lead / Project Manager / CTO
Internship Duration: 6 Months, extendable based on performance and business requirements
Working Days & Hours: As per company policy
Location: Company Office
Opportunity: Internship PPO / Full-Time Employment, subject to performance, business requirements, and successful evaluation
1. ROLE PURPOSE
The AI Engineer Intern Full-Stack AI will work as part of the engineering team responsible for designing, developing, integrating, testing, deploying, and maintaining AI-powered applications and enterprise solutions.
The role is designed for candidates who want hands-on exposure across the complete AI application lifecycle rather than working only on machine-learning models.
The intern will be expected to contribute across:
- Frontend Development
- Backend Development
- API Development
- Python Programming
- Databases
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic AI
- Prompt Engineering
- Vector Databases
- Data Engineering
- Model/API Integration
- Cloud Deployment
- DevOps
- Testing
- Documentation
- Production Support
The intern is expected to operate as a responsible member of the engineering team and deliver assigned tasks against defined timelines and quality standards.
2. KEY RESPONSIBILITIES
A. Full-Stack Application Development
The intern will participate in end-to-end application development.
Responsibilities include:
- Develop responsive web applications.
- Develop reusable frontend components.
- Integrate frontend applications with backend APIs.
- Build REST APIs and backend services.
- Implement authentication and authorization.
- Develop dashboards and AI interfaces.
- Integrate databases with applications.
- Implement file upload/download and document-processing workflows.
- Implement user management and role-based access.
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