Internship - Research & Engineering

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Job Title: Developer Intern (Research & AI Solutions)

Location: Bangalore Urban 

Employment Type: Full-Time, Remote

Industry: Higher Education / Technology Research

Company Overview

QAF Lab India (QLI) is a research and innovation hub focused on Enterprise Transformation, Generative AI, and Applied Machine Intelligence.

Our mission is to help organizations and individuals adapt to the demands of modern digital enterprises by developing AI-driven frameworks, RAG systems, and transformation models.

We partner with educators, enterprises, and innovators to create applied research prototypes and workforce upskilling programs that bridge academia and real-world AI deployment.

Role Overview

The Developer Intern will join our research and development team to contribute to ongoing projects in AI automation, RAG-based systems, and enterprise tooling.

This role provides hands-on experience in software design, model integration, and data analysis within a collaborative research environment.

Key Responsibilities:

• Contribute to codebases for ongoing R&D projects in AI and software development.

• Build and test Python-based modules for data analysis and visualization.

• Collaborate with cross-functional teams to integrate APIs, LLMs, or automation pipelines.

• Participate in weekly sprint reviews and document results using Git and Markdown.

• Conduct literature reviews and benchmarking for model or algorithmic evaluation.

• Prepare internal technical reports and assist in prototype deployment.

Qualifications

• Strong analytical and problem-solving mindset.

• Proficiency in Python (preferred) or Java/JavaScript.

• Familiarity with frameworks such as Flask, FastAPI, or Streamlit is an advantage.

• Basic understanding of machine learning, RAG, or data structures.

• Excellent communication and teamwork skills.

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.

What We Offer

• Mentorship under experienced professionals in AI transformation.

• Access to internal research frameworks and project repositories.

• Exposure to enterprise-grade data and deployment practices.

• Certificate of completion upon successful internship.

• Paid internship (stipend based on performance and project milestones).

How to Apply:

Apply directly through LinkedIn or via our company website’s official careers page. 

Only shortlisted candidates will be contacted.

Job ID: QLI-DEVT-2025-INT01