[BD] AI Engineer Intern (AI-Native Global Product | Agentic AI | Real-World Enterprise Systems) 6 months Internship

Recommendation Letter for 6-months internship program from your University is a MUST for this job.

About This Internship

This is not a research internship.
This is not a theoretical AI role.

This is hands-on AI engineering inside a global product at scale.

Our workflow platformserving 500000 users worldwideis evolving into a fully AI-native system. Built on advanced low-code/no-code (NCLC) architecture and accelerated by Generative AI we are redefining how enterprise applications are designed generated validated and scaled.

We are building agentic AI systems that can generate entire workflow applications:

• Business logic
• User interfaces
• System integrations

Your role is to ensure these systems actually workaccurately reliably and at scale.

If you want to become a top-tier AI engineer in 23 years this is your acceleration path.

Your Mission

Assist to Build and validate AI-generated applicationsand make them trustworthy for enterprise use.

You will work where AI meets reality:

• Real systems. Real users. Real constraints
• Accuracy and correctness over demos
• Engineering discipline applied to AI outputs

What Youll Work On

You will operate at the intersection of AI Engineering Software Engineering Product Reality.

Core Responsibilities

• Work with product leaders and domain experts to understand real workflows rules and edge cases
• Build and improve Generative AI and agentic AI systems
• Deep dive into legacy source code and compare with AI-generated outputs
• Design and execute rigorous validation strategies across:
  • Business logic and rules
  • UI behavior
  • APIs and integrations
  • Data handling and security constraints
• Train and refine AI agents through structured feedback loops
• Generate test and optimize AI-produced code with engineering-level precision
• Contribute to prompt engineering system tuning and model improvement
• Support deployment monitoring and optimization in production
• Collaborate across engineering QA and business teams to ensure end-to-end quality

Extended Scope (Based on Strengths)

• Assist in applied ML / GenAI model improvements
• Contribute to MLOps pipelines (CI/CD monitoring evaluation)
• Improve data pipelines and integrations for model reliability

Who Were Looking For

We are looking for buildersnot observers.

Must-Have

• Pursuing a degree in Computer Science Software Engineering Data Science or related
• Strong foundation in software engineering fundamentals
• Solid understanding of AI/ML deep learning and Generative AI
• Proficiency in Python and familiarity with LLM frameworks
• Strong problem-solving and structured thinking
• High attention to detail and patience in validating AI outputs
• Ability to deep dive into code and systems end-to-end
• Strong communication skills including working with non-technical stakeholders

What Makes You Stand Out

• You understand that domain knowledge is as critical as models in AI systems
• You thrive in ambiguity and complexity
• You are willing to go deep into edge cases and failure scenarios
• You proactively extract knowledge from experts and convert it into testable logic
• You think like an engineer but operate with a product mindset

Preferred

• Experience with cloud platforms (AWS Azure or GCP)
• Familiarity with Docker Kubernetes Git CI/CD
• Basic understanding of MLOps practices
• Exposure to data pipelines and enterprise systems
• Experience with AI-assisted coding tools / copilots

What Great Looks Like 

Quality & Validation

• Increased scenario coverage including edge cases
• Measurable accuracy improvements in AI-generated outputs
• Early detection of hidden defects
• Clear traceability from business rules test cases results
• Creation of reusable validation assets

Engineering & Delivery

• Faster validation cycles without quality compromise
• Strong use of automation where applicable
• High-quality structured documentation
• Strong ownership reliability and follow-through

What You Will Gain

• Hands-on experience building AI systems used in real enterprise products
• Exposure to agentic AI architecture at scale
• Deep understanding of AI in complex business environments
• Experience with real software delivery (Agile CI/CD quality systems)
• Mentorship from senior engineers product leaders and domain experts

Why This Role Is Different

Most AI roles focus on models.
This role focuses on making AI work in the real world.

• You wont just generate codeyou will prove it works in all scenarios
• You wont just build AIyou will make it trustworthy
• You wont just ship outputsyou will enforce correctness and reliability

This is where real AI engineers are built.

Culture & Expectations

We invest in interns who demonstrate:

• Ownership drive outcomes not tasks
• Professionalism clear structured communication
• Execution focus results over activity
• Energy & passion intensity to learn and deliver
• Team mindset collaborate to win
• Curiosity continuously improve

Internship Full-Time Opportunity

Outstanding interns may convert to Full-Time AI Engineer roles (external contract).

We invest in those who:

• Take ownership
• Deliver measurable results
• Continuously improve
• Build trust through quality and reliability

Application Requirements (Mandatory)

1. Motivation Letter (1 Page)

Include:

• Why this role (real-world AI engineering) why you why now
• What you have built tested or validated (projects accepted)

2. Written Response (Core Question)

How would you design a validation strategy to ensure maximum scenario coverage and achieve near-perfect accuracy for AI-generated applications in a complex enterprise system

Optional (Strongly Recommended)

• GitHub / portfolio / demos
• Proof of execution (projects scripts automation notebooks)

Final Note

AI is changing how software is built.

But building AI is not enough.

The future belongs to engineers who can make AI systems accurate reliable and usable in complex real-world environments.

If you want to be one of themthis is where you start.

Equal Opportunity
We are committed to building diverse inclusive teams and encourage all qualified candidates to apply.

Qualifications :

• Senior or final year student pursuing a Bachelors or Master degree in Computer Science Information Technology or a related subject. 
• Can provide the recommendation/introduction letter from the universities or professors to apply internship. 
• Experienced in JavaScript development for custom logic implementation. 
• Familiar with REST APIs JSON and integration patterns. 
• Good in English communication (speaking listening reading and writing). 
• Possess basic knowledge about requirement gathering/ management. 
• Knowledge of software development process especially software requirement analysis. 
• Aptitude to learn and understand new and emerging technologies. 
• Pro-activeness (self-starter) good communication and fast learning. 
• Good for logical thinking and problem solving. 

Additional Information :

• Monthly Internship Allowance plus Meal and Parking support.
• 1 paid leave day 1 sick leave day for each internship month.
• 1 birthday leave day if your birthday falls during the internship period.
• Accident insurance provided throughout the internship.
• Opportunity to observe and engage in international projects and innovation.
• Access to our diverse training programs which surely help strengthen both your personal and professionalism.
• Participation in various company activities such as football yoga badminton and team building.

Remote Work :

No

Employment Type :

Full-time