Location: HCMC onsite, Able to commit to 4-5 days/week for a 3–6 month internship.

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.

At Edtronaut, AI isn't just a feature — it's the backbone of everything we do. From Job Simulations to AI-powered CV PowerUp and other AI products in the pipeline, we leverage AI to automate workflows, personalize upskilling, and reimagine how people prepare for their careers.

THE HIRING PROCESS

Step 1: Submit your application/CVStep
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 work closely with Product/BA, and SWE to bring our AI Job Simulation, CV PowerUp and other AI products across EdTech / HRTech in the pipeline to life. Your work will focus on AI Product Development, AI & Automation Workflow Development and other AI Ops including but not limited to research and experimenting with various AI models, API integrations and prompt engineering (with domain expertise required or Edtronaut's support for development) to create intelligent, real-world learning scenarios in the most effective and cost efficient manner.

1. AI Automation & Workflow Integration

Design and implement AI-powered automation pipelines to enhance Edtronaut's internal and external processes — from data ingestion and user flow tracking to simulation content generation.
Develop and maintain automated workflows using APIs, scripts, or orchestration tools (e.g., Python, Zapier, LangChain Agents, Airflow, or custom pipelines).
Collaborate with Product and BA teams to identify opportunities for automation in the Job Simulation, CV PowerUp, and Job & Mentorship Matching modules.
Build reusable automation scripts to connect AI APIs with internal databases, content repositories, or marketing workflows.
Monitor and optimize pipeline performance for speed, scalability, and reliability.

2. AI API Integration & Model Exploration

Research, test, and integrate AI APIs (OpenAI, Anthropic, Gemini, Mistral, etc.) into Edtronaut's simulation and learning tools.
Compare and evaluate model performance across tasks such as summarization, classification, and conversational agents.
Design scalable, reusable functions for multi-model orchestration and response optimization.
Collaborate with Back-End Engineers to develop and refine API endpoints and microservices for LLM-powered features.

3. Prompt Engineering & Simulation Building

Craft, test, and refine prompts and instruction chains for Edtronaut's AI Job Simulations, where users learn by solving workplace challenges using AI.
Develop structured prompt templates that define task logic, feedback, and assessment rubrics.
Work with Product and BA teams to simulate realistic work tasks (e.g., AI marketing assistant, product analyst, data reviewer).
Optimize prompt reliability and accuracy across multiple contexts and user levels.

4. Prototyping & Feature Development

Build proof-of-concept prototypes for AI-driven learning features (e.g., AI mentors, scenario simulators, auto-feedback modules).
Design lightweight pipelines for inference and response evaluation, ensuring responsiveness and scalability.
Collaborate on AI feature roadmaps with Product and Tech teams, contributing both technical and creative input.

5. Research & Continuous Learning

Stay on top of the latest developments in different AI models, LLM prompting, multi-agent systems, and applied AI in education/workforce tech.
Drive internal R&D sprints to test new tools, frameworks, or datasets.
Present findings or mini-demos to the team as part of the AI Lab learning culture.

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.
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.

AI Engineer Intern - Tech Startup, Onsite HCMC only