AI Engineer Intern

Job description for AI Engineer Intern at Edtronaut

ABOUT US

• We are an
• AI-powered Workforce Development Platform
• that enables
• Personalized Upskilling & Reskilling, hands-on Job Simulation, and Job Placement
• to create impactful outcomes for talents and employers.
• Our vision is to create a universe where everyone has the opportunity to unlock their full potential and thrive in the Future of Work.
• Our mission is to bridge the gap between traditional learning and employment through AI-powered upskilling and reskilling solutions.

By integrating cutting-edge AI and ML, we deliver dynamic, adaptive experiences that transform how people learn and grow in the Future of Work.

THE HIRING PROCESS

Step 1

Submit your application/CV

Step 2

Receive a short take-home case (you’ll have 3 days to complete) & submit your solutions

Step 3

Final in-person interview to walk us through your thinking, approach, and learnings — plus mutual fit discussion

Step 4

Decision & offer

SCOPE OF WORK

This isn't your typical coffee-fetching, file-organizing internship. As our AI Engineer Intern, you will bring technical expertise to shape next-generation AI solutions. You’ll work closely with BA, Product Owners, UI UX Designer, Software Engineers, and others in building AI-driven job simulations, mentorship matching, and content intelligence. Specifically, you will:

• Architect & Develop AI Solutions
• Spearhead proof-of-concepts and prototypes for AI-driven features (e.g. Job Simulation, CV PowerUp, chatbots, content recommendations).
• Design efficient training and inference pipelines, including data preprocessing, model selection, hyperparameter tuning, and deployment strategies.
• Integrate advanced frameworks (PyTorch, TensorFlow, scikit-learn) for tasks such as NLP, computer vision, and generative models, aligning with the product’s roadmap.
• Collaboration & Agile Development
• Provide technical guidance to cross-functional team members, reviewing code, ensuring best practices, and championing robust ML operations.
• Coach team members in advanced AI topics (transfer learning, large language models, time series, HPC, or other specialized areas you’re passionate about).
• Work with Product Owners to define AI user stories and acceptance criteria, shaping the product backlog for AI features.
• Coordinate with Back-End/Front-End teams for seamless integration of AI modules (e.g., RESTful APIs, microservices, or large language model endpoints).
• Participate in daily stand-ups, sprints, and retrospectives, balancing technical constraints with user-centric goals.
• Testing, Optimization & Reliability
• Implement robust validation strategies (unit tests, cross-validation, data versioning) to ensure ML model reliability.
• Monitor performance metrics (accuracy, latency, resource consumption) in real-time, iterating quickly to reduce errors and optimize user experiences.
• Employ best-in-class security and privacy safeguards for user data, especially in workforce and career scenarios.
• Innovation & Continuous Learning
• Investigate cutting-edge AI research, HPC approaches, or advanced model architectures (Vision Transformers, GPT-based LLMs, etc.) that could improve Edtronaut’s AI stack.
• Drive an innovative community-of-experts ethos by regularly sharing knowledge, running internal technical workshops or demos, and iterating on new AI prototypes.

WHO ARE WE LOOKING FOR

You’re a builder, problem-solver, and thinkerer who’s passionate about the intersection of AI, automation, and product innovation. We seek a highly capable AI engineering intern who, despite the “intern” title, wields in technical knowledge, architecture, and problem-solving as part of our working culture.

Must-Haves

Pursuing or recently finished a Computer Science / Data Science / Engineering degree, with advanced ML projects or coursework under your belt.

• Proficient in Python with familiarity in API integration and JSON handling.
• In-depth understanding of machine learning workflows and LLM APIs (OpenAI, Anthropic, Gemini, etc.).
• Strong interest in AI automation, prompt engineering, and agentic systems.
• Highly capable Analytical thinker — able to identify inefficiencies and design technical automation solutions.
• Experience using LangChain, LlamaIndex, or AutoGPT frameworks.
• Knowledge of workflow tools such as Zapier, Make, Airflow, or custom automation scripts.
• Familiarity with NoSQL or SQL databases for workflow data management.
• Able to commit to
• 4-5 days/week for a 3–6 month internship
• Nice-To-Haves
• Interest in EdTech, HRTech, or upskilling platforms.

Passion for Workforce Development and Innovation: Enthused about shaping how learners experience job simulations, skill assessments, or mentorship matching through AI.

• Genuinely motivated to create AI-driven products and innovation that make a difference in people’s careers.
• Hungry for learning and growing and are on top of all the latest development in the world of Tech & AI
• Eager to experiment and ship fast in a lean, agile team environment.

WHY US

- Impactful AI Projects

Contribute to AI solutions that empower learners, directly influencing how learners and organizations engage with our platform and shape the Future of Work, not just proof-of-concepts or prototypes.

- Develop New Skills

• Sharpen your skills in AI Engineering skills and environment, Critical Thinking & sharpen Communications and Presentation skills.
• Build project portfolio in AI Engineering
• , of advanced ML AI prototypes or HPC solutions that stand out in the AI community.

- Startup Energy & Culture

Gain firsthand experience in the fast-paced, high-impact world of startups.

- Learn from World-Class Mentors

• Work directly with experienced co-founders with a proven global track record in consumer goods, tech, and B2B industries.
• Exposure and Insights to Tech & AI Startup
• with a focus on AI & EdTech - Upskilling & Reskilling, Workforce Development.

- Collaborative Gen Z Team

Be part of a youthful, fun collective that’s unafraid to experiment and innovate across technology, business, and design.