IBM Hiring Backend & Frontend developer intern | Bangalore

Backend Developer Intern – Job Opportunity

About the Company

TLS AI Development is a forward-thinking technology firm based in Bangalore, focused on crafting intelligent solutions built on powerful AI and ML systems. With a mission to simplify complex problems through innovation, automation, and high-performance engineering, the company delivers cutting-edge products that empower industries to operate smarter and faster. Rooted in traditional engineering discipline yet shaped by modern digital transformation trends, TLS AI blends data, cloud, and intelligence to build reliable and future-ready platforms. Working here means joining a team that respects history, embraces creativity, and continuously pushes boundaries to impact the tech world in meaningful ways.

Job Description

We are looking for a passionate and curious Backend Developer Intern to join our AI-driven engineering team. This role is ideal for learners who want to explore the deep layers of backend technologies while working with advanced systems such as Large Language Models and AI-based pipelines. As part of our engineering division, you will contribute to building highly scalable backend components, API services, and cloud-integrated applications. You will work closely with senior engineers and data scientists to understand product requirements, optimize performance, and ensure smooth execution of analysis pipelines. This internship offers hands-on experience in real-world backend development, exposure to industry best practices, and an environment that encourages critical thinking and creative problem-solving.

The ideal candidate is someone who loves exploring how systems work behind the scenes, questions possibilities, and continuously looks to improve existing processes with a mix of innovation and discipline. If you are excited to learn how backend systems support AI ecosystems and want to be part of an impactful tech domain, this internship is a strong match for you.

Roles and Responsibilities

• Collaborate with the engineering team to design, develop, and optimize backend services and APIs used for AI and ML workflows.
• Work with Python-based systems and contribute to the enhancement of internal tools, libraries, and automation frameworks.
• Support the integration and deployment of Large Language Models within backend systems, ensuring performance efficiency and reliability.
• Assist in designing scalable cloud components, ensuring smooth communication between microservices and analysis pipelines.
• Participate in discussions related to system design, architecture, and best development practices to help shape efficient engineering outcomes.
• Troubleshoot backend issues, debug code, and contribute to maintenance activities to ensure system stability.
• Learn and adapt to new technologies, tools, and frameworks essential for backend and AI-driven development environments.
• Document development processes, maintain code quality, and ensure that engineering tasks align with organizational goals and standards.

Required Education

A Bachelor’s Degree in Computer Science, Information Technology, Electronics, Engineering, or any related technical field is required. Students currently in their final year or those who have recently completed their undergraduate education are welcome to apply.

Preferred Education

A Bachelor’s Degree with additional coursework, certifications, or project experience in Artificial Intelligence, Cloud Computing, Machine Learning, or Backend Engineering will be considered an advantage.

Required Technical and Professional Expertise

• Strong understanding of Python programming fundamentals and related backend technologies.
• Basic knowledge of AI and ML concepts, their workflows, and industry applications.
• Good understanding of Large Language Models, their purpose, and how they integrate with backend systems.
• Familiarity with web API development, REST principles, and microservice-based communication.
• Exposure to cloud components such as serverless functions, storage services, compute engines, and deployment tools.
• Ability to analyze and support execution of data pipelines used in ML experimentation or model deployment.
• Strong problem-solving mindset with an eagerness to learn new technologies quickly and effectively.
• Good communication skills with the ability to collaborate in a professional team environment.

Preferred Technical and Professional Experience

• Hands-on academic or project experience in backend development using Python frameworks like Flask, FastAPI, or Django.
• Experience working with any cloud platforms such as AWS, Google Cloud, or Azure.
• Understanding of system design fundamentals, including scalability, caching, load balancing, and data flow patterns.
• Exposure to API testing, version control systems like Git, and CI/CD practices.
• Any experience working with datasets, ML pipelines, or automation processes is an added advantage.

Interview Process

The selection process is structured to evaluate both your technical understanding and your problem-solving mindset. The typical interview flow includes the following stages:

1. Online Application Screening:
Your resume and project details will be reviewed to assess alignment with backend, AI, and Python-related skills.


2. Technical Assessment:
A short online or take-home test evaluating Python fundamentals, logical reasoning, and basic backend concepts. Some questions may focus on API structures, debugging, or simple system design.


3. Technical Interview Round:
A discussion-based interview with the engineering team, covering your understanding of backend development, cloud basics, LLM awareness, past projects, and your approach to problem-solving.


4. HR/Managerial Discussion:
A conversation focused on communication skills, team fit, availability, expectations, and learning ability.


5. Final Selection:
Selected candidates will receive an internship offer along with onboarding instructions.

Why You Should Join TLS AI Development

Joining TLS AI Development means stepping into a workplace where tradition meets innovation. You will learn from experienced engineers who value structured thinking, disciplined coding practices, and the timeless principles of engineering — while also being encouraged to imagine new possibilities inspired by the future of AI and cloud technologies.

As a Backend Developer Intern here, you gain an opportunity to work with real AI-driven systems, contribute to meaningful technical modules, and develop skills that are essential for modern backend engineering. You become part of a supportive environment that respects individuality, encourages creativity, and gives you the freedom to explore and question how systems can be made better.

You will grow your expertise in backend development, cloud services, and intelligent systems — all while working on live projects that challenge your abilities and strengthen your technical foundation. If you want a career that blends curiosity, discipline, innovation, and hands-on learning, this internship will shape your journey with confidence and purpose.