Unisys AI Engineering Intern Hiring 2026

Unisys AI Engineering Intern Hiring 2026 | Bangalore

Introduction

Unisys is hiring an AI Engineering Intern for its team in Bangalore, Karnataka, India. This is a full-time internship focused on building practical AI solutions, converting AI pipelines into working prototypes, and helping take promising solutions toward production-ready enterprise applications.

The opportunity is particularly relevant for final-year M.Tech students and recent M.Tech graduates specializing in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

The role has a strong engineering and implementation focus. Interns will work with experienced domain experts to build AI agents, develop supporting harnesses, improve reliability, and contribute to systems that can be deployed in enterprise environments.

Quick Job Snapshot

About the Role

The Unisys AI Engineering Intern role is designed for candidates who enjoy building practical AI systems rather than focusing only on theoretical concepts.

Interns will collaborate with domain experts to transform existing AI pipelines into functional prototypes and then contribute toward making successful prototypes suitable for enterprise deployment.

A major focus of the position is AI agents and the engineering infrastructure around them. This includes orchestration, tools, evaluation mechanisms, and guardrails that help make AI systems reliable and testable.

What You’ll Do

• Collaborate with experienced domain experts to convert existing AI pipelines into functional prototypes.
• Help transform promising prototypes into production-ready projects suitable for enterprise deployment.
• Build and iterate on AI agents.
• Develop supporting harnesses that make AI agents reliable and testable.
• Work on orchestration and tooling around AI agents.
• Contribute to evaluation approaches for AI systems.
• Work with guardrails that improve the reliability and safety of AI solutions.
• Apply hands-on debugging and problem-solving techniques while developing AI systems.
• Contribute to engineering practices that improve system robustness and maintainability.
• Help develop solutions that can be deployed and operated at scale.

Required Skills

Candidates should have a strong combination of AI knowledge and practical software engineering skills. The supplied job description highlights the following requirements:

• Understanding of how to build AI agents.
• Understanding of the supporting harnesses used around AI agents.
• Knowledge of AI agent orchestration.
• Understanding of AI tooling.
• Knowledge of evaluation approaches for AI systems.
• Understanding of AI guardrails.
• Strong programming fundamentals.
• Hands-on approach to debugging.
• Strong problem-solving skills.
• Ability to work collaboratively with domain experts and cross-functional teams.

Educational Qualification

The position is intended for candidates who are currently pursuing or have recently completed an M.Tech in:

• Computer Science
• Artificial Intelligence
• Machine Learning
• Related technical fields

The listing specifically identifies final-year M.Tech students and recent graduates as candidates who can be successful in the role.

Preferred Skills

• Public AI/ML projects.
• GitHub projects demonstrating practical implementation.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience deploying software in enterprise environments.
• Experience operating software in production or enterprise settings.

Why GitHub Projects Can Help

Unisys specifically mentions public projects and GitHub links as a desirable qualification. Candidates should therefore consider showcasing practical AI projects that demonstrate their ability to build and implement solutions.

A strong project portfolio can include AI agents, automation systems, LLM-based applications, AI pipelines, evaluation frameworks, or other practical AI/ML implementations.

When adding projects to a resume or GitHub profile, candidates should clearly explain the problem, technology used, implementation, and outcome instead of only listing the project name.

Cloud and Enterprise Exposure

Experience with cloud platforms such as AWS, Azure, or GCP is listed as a nice-to-have qualification. Candidates who have deployed AI applications or other software to cloud environments can highlight this experience in their resumes.

Exposure to enterprise software deployment and operations is also beneficial because the role focuses on taking AI prototypes toward production-ready solutions suitable for enterprise environments.

Who Can Apply?

This opportunity is primarily targeted toward final-year M.Tech students and recent M.Tech graduates.

Candidates should be pursuing or have recently completed an M.Tech in Computer Science, AI/ML, or a related field and should have practical knowledge of AI agents, programming, debugging, and problem-solving.

The supplied job description does not mention a specific CGPA, percentage, age limit, graduation year, or stipend amount.

Work Location

The position is based in Bangalore, Karnataka, India. The job description states that candidates should be able to work in-office and collaborate closely with a cross-functional team.

How to Prepare for the Unisys AI Internship

Candidates should focus on demonstrating practical AI engineering skills rather than only academic knowledge. Build at least one project that shows how an AI solution works from development through testing or deployment.

It is particularly useful to understand AI agents, orchestration, tools, evaluation, and guardrails. Candidates should also strengthen their programming fundamentals and be comfortable debugging applications.

If you have a GitHub portfolio, make sure the repositories are organized, include clear README files, and demonstrate working implementations. Public projects are specifically mentioned as a preferred qualification in the listing.

Resume Tips for This Role

• Place AI/ML and programming skills prominently in your technical skills section.
• Highlight practical AI agent or LLM projects.
• Include GitHub links for relevant public projects.
• Mention AWS, Azure, or GCP exposure if applicable.
• Showcase deployment or cloud experience where relevant.
• Describe measurable project outcomes where possible.
• Highlight debugging and problem-solving experience.
• Keep project descriptions focused on your actual technical contribution.

How to Apply

1. Visit the official Unisys careers application page.
2. Search for the AI Engineering Intern position.
3. Use requisition ID REQ574280 to locate the opening.
4. Review the eligibility and job requirements carefully.
5. Prepare an updated resume highlighting AI/ML projects and programming skills.
6. Add relevant GitHub or public project links to your application.
7. Complete the online application form.
8. Submit your application through the official Unisys careers portal.
9. Monitor your email for further recruitment updates.

Important: The supplied job description does not specify the internship stipend, application deadline, or a specific graduation year. Candidates should verify the latest information on the official Unisys careers portal before applying.

Frequently Asked Questions (FAQs)

1. What is the Unisys AI Engineering Intern role?
It is a full-time internship focused on building practical AI solutions, developing AI agents, converting AI pipelines into prototypes, and helping prepare solutions for enterprise deployment.

2. Who is eligible for the Unisys AI Engineering Internship?
The role is aimed at final-year M.Tech students and recent graduates in Computer Science, AI/ML, or related fields.

3. What educational qualification is required?
Candidates should be currently pursuing or have recently completed an M.Tech in Computer Science, AI/ML, or a related field.

4. What skills are required?
The listing emphasizes AI agents, orchestration, tooling, evaluation, guardrails, programming fundamentals, debugging, and problem-solving.

5. Is cloud experience required?
Cloud exposure to AWS, Azure, or GCP is listed as a nice-to-have skill rather than a core requirement.

6. Does Unisys value GitHub projects?
Yes. Public projects and GitHub links showcasing implemented work are specifically listed as desirable.

7. Is the internship remote?
No. The supplied description states that candidates should be able to work in-office and collaborate closely with the team.

8. Where is the Unisys AI Engineering Internship located?
The position is located in Bangalore, Karnataka, India.

9. What is the Unisys internship stipend?
A specific stipend amount is not provided in the supplied job description.

10. What is the job requisition ID?
The requisition ID is REQ574280.

Conclusion

The Unisys AI Engineering Intern opportunity in Bangalore is a practical AI engineering internship for final-year M.Tech students and recent graduates. Unlike roles focused primarily on theoretical AI concepts, this position emphasizes building working prototypes, developing AI agents, creating reliable testing and evaluation harnesses, and moving solutions toward enterprise deployment.

Candidates with strong programming fundamentals, hands-on AI agent experience, practical debugging skills, and public GitHub projects can be well positioned for this opportunity. Exposure to AWS, Azure, GCP, or enterprise software deployment can further strengthen an application.

Interested candidates should review requisition REQ574280 and apply through the official Unisys careers portal.