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:
1. 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.
2. 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.
3. 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.
4. 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.
