UMS Associates is inviting applications for its Full Stack Developer & AI Engineer Internship 2026. This is a remote (work-from-home) internship offering students and recent graduates an opportunity to work on real-world AI products, financial datasets, Large Language Models (LLMs), cloud deployment, and full-stack application development.
Interns will gain practical experience building AI-powered applications, scalable backend services, cloud-based deployments, and modern web applications while working with experienced professionals in the AI domain.
About UMS Associates
UMS Associates is a Hyderabad-based firm working on multiple AI-driven products and consultancy services. The company focuses on developing intelligent software solutions, machine learning applications, and enterprise AI products across different industries.
Internship Overview
| Details | Information |
|---|---|
| Company | UMS Associates |
| Position | Full Stack Developer & AI Engineer Intern |
| Job Type | Internship |
| Work Mode | Work From Home |
| Duration | 3 Months |
| Start Date | Immediate |
| Stipend | ₹10,000 – ₹50,000 per month |
| Application Deadline | 4 September 2026 |
Internship Stipend
| Component | Details |
|---|---|
| Monthly Stipend | ₹10,000 – ₹50,000 |
Roles and Responsibilities
As an intern, you will contribute to AI products and full-stack software development by working on:
Machine Learning & AI
- Build scalable data processing pipelines for financial datasets.
- Clean, transform, and engineer features from large datasets.
- Develop context-aware LLM applications.
- Build AI agents powered by Large Language Models.
- Assist in machine learning workflows and AI model integration.
Backend Development
- Develop real-time APIs using Flask.
- Build secure and scalable backend services.
- Handle concurrent API requests efficiently.
- Integrate AI models with backend systems.
Full Stack Development
- Develop responsive web interfaces using Django.
- Build frontend applications for AI dashboards.
- Create interactive user experiences.
- Develop and maintain end-to-end full-stack applications.
Cloud Deployment
- Deploy AI applications to cloud platforms.
- Support scalable deployment pipelines.
- Maintain production-ready applications.
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Required Skills
Candidates should have knowledge of:
- Python
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
- React
- Next.js
- Java
- LLMOps
- Full Stack Development
Additional Requirements
Applicants should preferably have:
- Degree (pursuing or completed) in Computer Science, Data Science, or related fields.
- Strong Python programming skills.
- Familiarity with AI agents and LLM-based applications.
- Experience in frontend and backend development.
- Knowledge of SQL and NoSQL databases.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Eligibility Criteria
Candidates can apply if they:
- Are available for the work-from-home internship.
- Can start immediately.
- Can commit to a 3-month internship.
- Possess the required technical skills and interest in AI and software development.
Skills You’ll Gain
During this internship, you can expect to gain experience in:
- Machine Learning Pipelines
- Artificial Intelligence
- Large Language Models (LLMs)
- AI Agents
- Flask
- Django
- React
- Next.js
- Python Development
- Cloud Deployment
- API Development
- Data Engineering
- Database Management
- Full Stack Engineering
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Perks & Benefits
Selected interns will receive:
- Paid internship
- Work-from-home flexibility
- Flexible working hours
- Internship Certificate
- Letter of Recommendation
- Hands-on AI and LLM project experience
- Exposure to cloud deployment and production systems
How to Apply
Interested candidates should apply before 4 September 2026.
Before applying, ensure your resume highlights:
- Python projects
- AI or Machine Learning projects
- React or Next.js applications
- Django or Flask experience
- GitHub portfolio
- Cloud deployment experience
- Database knowledge
- LLM or Generative AI projects (if available)
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.