Meraki Labs Internship 2026 | AI Engineer Intern | Bengaluru

1) Job Summary

Company: Meraki Labs
Job Title: AI Engineer Intern
Location: Bengaluru, Karnataka, India
Work Arrangement: On-site
Employment Type: Full-time internship
Department: Engineering
Job Function: Engineering and Information Technology
Experience Level: Internship

The intern will assist with designing, developing and deploying AI models and applications. The role also includes research, data preparation, product integration, code reviews and technical documentation.

The current LinkedIn listing indicates that the position is based in Bengaluru and had received more than 200 applicants at the time of the listing being viewed.

2) Job Description

The AI Engineer Intern will work with the engineering team on practical artificial intelligence and machine learning projects.

Key responsibilities include:

• Assisting in the design and development of AI models and applications.
• Supporting the deployment of AI solutions.
• Researching developments in artificial intelligence and machine learning.
• Working with senior engineers to integrate AI capabilities into products and services.
• Participating in code reviews.
• Helping maintain code quality.
• Collecting, preprocessing and analyzing data.
• Preparing technical documentation.
• Supporting project development and improvement activities.

The role provides exposure to both the research and engineering sides of AI. Candidates should therefore be comfortable moving between programming, experimentation, data preparation and collaboration with other engineers.

Knowledge of Python is specifically relevant to the position. Familiarity with AI/ML frameworks such as TensorFlow or PyTorch is listed as an advantage.

3) Eligibility Criteria

The employer’s listing states that candidates should generally be pursuing a degree in areas such as:

• Computer Science
• Information Technology
• Computer Engineering
• Artificial Intelligence and Machine Learning
• Artificial Intelligence and Data Science

The listing specifically references students from a range of leading engineering and technology institutions. It also states that exceptional candidates from non-computing backgrounds at top-tier institutions may be considered.

Other requirements and preferred qualifications include:

• Strong academic performance.
• Proficiency in at least one programming language, such as Python.
• Demonstrable technical work.
• A public GitHub profile with readable repositories.
• Strong problem-solving ability.
• Interest in AI development.
• Ability to work effectively in a team.
• Good communication and interpersonal skills.

The listing also mentions open-source contributions, published packages, projects with actual users and previous internships as evidence of practical ability. Strong academic indicators can include competitive programming achievements, Kaggle performance, olympiad achievements or a high CGPA.

Who Should Apply?

This opportunity may suit students who:

• Are seriously interested in AI engineering.
• Have strong programming fundamentals.
• Have built AI/ML projects beyond classroom assignments.
• Maintain an active and well-organized GitHub profile.
• Have experience with Python.
• Understand fundamental machine learning concepts.
• Have experimented with LLMs, RAG, agents or model fine-tuning.
• Enjoy solving open-ended technical problems.
• Can work effectively with experienced engineers.

Candidates with meaningful open-source contributions or projects that have real users can highlight those achievements prominently.

Who May Not Be a Good Fit?

The position may not suit candidates who:

• Have little or no programming experience.
• Have only theoretical knowledge of AI without practical projects.
• Do not have demonstrable technical work.
• Are uncomfortable working on-site in Bengaluru.
• Prefer non-technical internship responsibilities.
• Are not interested in learning through experimentation and development.
• Cannot explain the projects listed on their resume or GitHub profile.

4) What Should Be Highlighted in the Resume?

For this particular opportunity, a generic fresher resume may not be sufficient. Candidates should make their proof of technical work easy to identify.

Highlight these areas:

Programming:
Mention Python and other programming languages you genuinely know.

AI/ML Projects:
Include projects involving machine learning, deep learning, NLP, computer vision or generative AI.

LLM Experience:
If applicable, mention projects involving RAG, AI agents, evaluation systems, embeddings, vector databases or fine-tuning.

GitHub:
Provide a public GitHub profile and highlight repositories that contain readable code, documentation and meaningful project work.

Open Source:
Include merged pull requests, open-source contributions, GSoC/Outreachy participation or published packages where applicable.

Academic Achievements:
Include strong CGPA, competitive programming ratings, Kaggle achievements, olympiad results or other relevant accomplishments.

Internships:
Describe previous research-lab, product-company or startup internships, particularly where you worked on real technical problems.

Avoid listing AI tools or frameworks simply because you have watched tutorials about them. Be prepared to demonstrate your actual contribution.

5) What Candidates Should Expect During Recruitment Process? (Selection Process)

The LinkedIn listing does not provide a complete, official step-by-step selection process for this particular internship. Therefore, candidates should not assume that a fixed number of interview rounds or a specific test is guaranteed.

Given the technical requirements of the position, candidates should be prepared for discussions or assessments covering areas such as:

• Python programming.
• Data structures and algorithms.
• Machine learning fundamentals.
• AI/ML project experience.
• Problem-solving.
• LLM concepts.
• RAG and embeddings, if listed on the resume.
• GitHub projects.
• Open-source contributions.
• Technical decision-making.
• Teamwork and communication.

Candidates should expect detailed questions about their projects. For example, if a candidate mentions a RAG application, they should understand how documents were processed, how embeddings were generated, how retrieval worked and how the quality of the generated responses was evaluated.

6) About the Company

Meraki Labs describes itself as an India-based startup studio that works with founders to build companies from the ground up. Its official website says the organization focuses on turning ideas into prototypes and building companies around high-impact opportunities.

The company’s LinkedIn profile identifies its headquarters as Bengaluru and describes Meraki Labs as a privately held startup studio. It states that the studio works across areas including clean energy, education, health, e-mobility, fintech, fashion and commerce.

Meraki Labs’ current technology hiring activity also includes AI-focused engineering positions, reflecting its broader interest in artificial intelligence and technology-driven products.

7) Why Join This Company?

For an aspiring AI engineer, the role can provide exposure to practical development rather than limiting the internship to academic exercises.

Potential learning areas include:

• AI model development.
• Machine learning workflows.
• Data preprocessing.
• LLM-based applications.
• AI product integration.
• Code review practices.
• Working with experienced engineers.
• Technical documentation.
• Research and experimentation.

The role may be particularly useful for students who want to build a portfolio of practical AI engineering work. However, candidates should evaluate the actual internship terms, responsibilities and compensation directly with the employer before accepting an offer.

8) Frequently Asked Questions (FAQ)

Q1. What is the job title?

The position is AI Engineer Intern at Meraki Labs.

Q2. Where is the internship located?

The position is based in Bengaluru, Karnataka, India, and the listing specifies an on-site arrangement.

Q3. Is this a full-time internship?

Yes. The LinkedIn listing identifies it as a full-time internship.

Q4. Which educational backgrounds are preferred?

The listing mentions Computer Science, Information Technology, Computer Engineering, AI-ML and AI-DS, while exceptional candidates from non-computing backgrounds may also be considered.

Q5. Is Python required?

The listing asks for proficiency in at least one programming language, giving Python as an example.

Q6. Is prior AI experience required?

The listing emphasizes practical proof of work, including projects, open-source contributions or published packages. Previous internships are also mentioned as a qualification.

Q7. Is LLM experience necessary?

LLM experience involving areas such as agents, RAG, evaluations or fine-tuning is described as a significant advantage, while the listing emphasizes strong fundamentals for intern-level candidates.

Q8. Is a GitHub profile important?

Yes. The listing states that a public GitHub profile with readable repositories is mandatory for shortlisting.

Q9. What projects should candidates showcase?

Candidates can showcase meaningful AI/ML projects, open-source contributions, applications with actual users, LLM/RAG projects and other work that demonstrates programming and problem-solving ability.

Q10. Where should candidates verify the latest job details?

Candidates should check the original LinkedIn listing and Meraki Labs’ official careers/application channels for the latest availability and application instructions.

Final Note for Candidates

This internship is focused on practical AI engineering, so candidates should present evidence of what they have actually built, rather than relying only on a list of courses or certifications. A concise resume, well-documented GitHub projects and the ability to explain technical decisions clearly can help recruiters understand a candidate’s capabilities.

Job availability and recruitment requirements can change. Candidates should verify the current status, eligibility conditions and application instructions through the employer’s official channels before applying.

How to Apply?

• Interested candidates meeting the eligibility criteria have to apply at the following link:

Apply Online

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