AI Engineering Intern

Artificial Intelligence Engineer Internship

Location : Remote

Duration : 3 Month unpaid internship, followed by a potential 3-month paid internship with a stipend of ₹10,000 / month based on performance and quality of work - with a chance of conversion to full time prematurely.

About Us

At Deep Learning Titans, we are at the forefront of integrating advanced AI technologies with innovative solutions across various industries. Our diverse portfolio includes cutting-edge B2B and B2C products such as Suproc - Supplier Procurement Engine , Aiko - AI influenced game , and our clients products. Join our dynamic team and contribute to pioneering projects that shape the future of technology and digital experiences.

Role : AI Engineer Intern

We’re hiring B.Tech final-year students and fresh graduates who are comfortable using LLMs to generate, refactor, accelerate code and who can also review, test, and ship responsibly. You’ll work across real features in our products and client work, collaborating with senior engineers and PMs.

We are seeking a motivated and talented AI Engineer Intern to join our forward-thinking team. This internship offers a unique opportunity to work on diverse projects for our clients as well as our in-house products. You will collaborate with experienced professionals, enhance your AI and machine learning skills, and contribute to impactful solutions that span blockchain integration, decentralised ecosystems, and medical applications utilising NLP.

Key Responsibilities

Prompt Engineering for Code : Craft, test, and refine prompts to produce clean, modular code (Python / TypeScript / React / Next.js) and structured outputs.

Feature Development : Implement UI components, APIs, and workflows using LLM-assisted development; raise PRs and iterate via reviews.

Data & Integrations : Work with APIs, databases (Supabase / Firebase / Postgres) , and automation pipelines; handle data prep and simple ETL where needed.

Quality & Performance : Write basic tests, measure latency / accuracy of LLM outputs, and harden generated code for production use.

Documentation : Maintain READMEs, design notes, and short demo videos to communicate what you shipped.

Stay Current : Track emerging LLM tools, agents, and best practices—and bring useful ideas to the team.

Qualifications

Educational Background : Final-year B.Tech students or recent B.Tech graduates in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Programming Skills : Proficiency in Python and familiarity with AI / ML frameworks such as TensorFlow, PyTorch, or Keras.

Machine Learning Knowledge : Strong understanding of machine learning algorithms, data structures, and model evaluation techniques.

Data Handling : Experience with data preprocessing, feature engineering, and working with large datasets.

Problem-Solving : Excellent analytical and problem-solving skills with the ability to work independently and in a team environment.

Portfolio : Demonstrated projects or coursework related to AI / ML (mandatory).

Preferred Qualifications

Deep Learning Expertise : Experience with deep learning architectures and applications.

NLP Experience : Familiarity with Natural Language Processing techniques and libraries such as NLTK, SpaCy, or Hugging Face.

Blockchain Knowledge : Understanding of blockchain technology and its integration with AI solutions.

Deployment Skills : Experience deploying AI models using cloud services like AWS, Google Cloud, or Azure.

Version Control : Proficiency with version control systems, particularly Git.

Industry Exposure : Previous internship or project experience in AI-driven industries.

Why Join Us?

This internship offers a unique opportunity to work on impactful and diverse AI projects within a supportive and innovative environment. If you are passionate about advancing AI technologies and eager to make a tangible difference in various sectors, we would love to hear from you!

Deep Learning Titans is committed to fostering an inclusive and diverse workplace. We encourage applicants from all backgrounds to apply.