Website:
thita.ai
Job details:
Location: Remote / Bengaluru
Type: Internship
Team: Engineering + Product
About Thita.ai
Thita.ai is building an AI-native platform to help people learn, prepare for, and perform better in technical interviews.
We are building products across the entire journey:
- AI-powered interviews through interviews.thita.ai
- DSA learning paths and pattern-based roadmaps
- System Design preparation
- Core Computer Science and engineering subjects
- Resume-based and personalized technical interviews
- AI coaching and feedback that helps users understand exactly what to improve next
Our goal is simple:
Build an AI-native technical education and interview platform that can understand where someone is, challenge them appropriately, and help them figure out what to learn next.What you'll be working on
As a Forward Deployed Engineer Intern, you'll work directly on problems across engineering, AI, product, and user experience.
A significant part of the role will involve building and improving interviews.thita.ai : our AI interview platform.
You'll help build experiences where candidates can:
- Take realistic AI-powered technical interviews.
- Practice DSA interviews with adaptive follow-up questions.
- Take resume-based interviews based on their actual experience and projects.
- Practice System Design interviews.
- Prepare for interviews in core Computer Science subjects.
- Receive detailed feedback on problem solving, communication, technical knowledge, and areas for improvement.
- Get personalized recommendations for what to learn and practice next.
You'll also work on Thita's broader learning infrastructure, including structured learning paths for:
Data Structures & Algorithms
A pattern-based approach to DSA that helps users understand:
What pattern is this problem testing, how do I recognize it, and when should I use it again?System Design
You'll potentially help build learning and interview experiences around:
- High-Level Design
- Low-Level Design
- Scalability
- Databases
- Caching
- Load balancing
- Distributed systems
- APIs and service architecture
- Reliability and fault tolerance
- Real-world architecture trade-offs
Core Computer Science & Engineering
We're also expanding Thita's learning paths and interview capabilities across core engineering subjects such as:
- Operating Systems
- Computer Networks
- Databases and DBMS
- Object-Oriented Programming
A user performs poorly on database indexing questions during an interview → Thita identifies the underlying knowledge gap → recommends the exact concepts to learn → gives practice questions → brings those concepts back into a future interview.
That's the kind of system you'll get to help build.
What you'll do
Your work might involve:
- Building features for interviews.thita.ai, working in the founding team.
- Designing AI-powered interview flows.
- Building adaptive interview systems that change based on a candidate's responses.
- Creating resume-aware interview experiences.
- Building interview experiences for DSA, System Design, and core CS subjects.
- Improving AI feedback and evaluation systems.
- Working with LLMs, structured outputs, agents, retrieval, and evaluation pipelines.
- Building learning paths and systems that connect learning → practice → interview → feedback → improvement.
- Investigating real user problems and shipping solutions quickly.
- Working across frontend, backend, infrastructure, and AI systems.
- Talking to users and understanding where the current product experience breaks down.
- Taking vague problems and turning them into working products.
This is a highly product-oriented engineering role.
You won't just receive a specification and implement it.
Sometimes the entire specification will be:
"Users aren't improving after taking multiple interviews. Figure out why."
Your job will be to investigate the problem, understand the user behavior, identify possible solutions, and help ship one.
What we're looking for
You do not need to know everything.
We're looking for someone who has strong fundamentals and learns quickly.
Ideally, you:
- Have strong fundamentals in Data Structures and Algorithms.
- Understand core CS subjects such as Operating Systems, DBMS, Computer Networks, and OOP.
- Have some familiarity with System Design.
- Can write clean, reliable software.
- Are comfortable working with JavaScript/TypeScript, Python, or similar technologies.
- Have experimented with LLMs, AI APIs, agents, or AI applications.
- Can work independently when requirements are ambiguous.
- Enjoy figuring things out.
- Care about the user experience, not just the implementation.
- Are comfortable moving between engineering, AI, debugging, and product work.
You don't need prior experience with every technology we use.
We care more about:
How fast you learn.
How deeply you think.
And whether you can turn an unclear problem into something useful.
Interview ProcessRound 1 — AI Interview on Thita.ai
The first round will be conducted through our own AI interview platform.
You'll receive an AI interview covering a combination of:
- Data Structures & Algorithms
- Resume-based questions
- Your projects and technical experience
Depending on the role and your background, the interview may also touch on relevant Computer Science fundamentals.
We aren't only evaluating whether you arrive at the correct answer.
We'll look at:
- How you approach an unfamiliar problem.
- Whether you ask useful clarifying questions.
- How you identify patterns.
- Your understanding of time and space complexity.
- How you communicate your thinking.
- How you reason about trade-offs.
- How you respond when you get stuck.
Think out loud.
The goal is to understand how you think, not whether you memorized the perfect solution.
Round 2 — Forward Deployed Engineering Problem
You'll work through a real or representative problem that could exist at Thita.
We'll be interested in how you:
- Break down ambiguity.
- Design systems.
- Make product decisions.
- Identify trade-offs.
- Communicate your reasoning.
Final Round : Founder Conversation
A conversation about:
- Things you've built.
- Problems you've solved.
- How you learn.
- How you work when nobody gives you a detailed specification.
- Your interest in AI and developer education.
- Why you want to work at an early-stage startup.
Why this role?
This isn't a traditional internship where you'll spend months working on an isolated internal project.
You'll be working on products used by real candidates. thita.ai grew organically to 25,000 users. Now interviews.thita.ai will step us into the hiring side.
You could ship something to:
- The AI interview platform.
- A new DSA learning experience.
- A System Design roadmap.
- A Computer Science learning path.
- An AI evaluation or feedback system.
- A completely new product experiment.
You'll get exposure to the full loop:
User problem → Investigation → Product idea → Engineering → Deployment → Feedback → Iteration
If you like building quickly, working on ambiguous problems, and want to help define what AI-native technical education looks like, we'd love to talk.
Click on Apply to know more.
