Hebbia Software Engineer interview questions & guide 2026

The following questions are representative of the patterns observed in Hebbia interview processes. They are designed to test your ability to translate abstract requirements into clean, functional code and scalable system designs.

Coding and Algorithmic Proficiency

These questions evaluate your ability to implement logic under constraints, focusing on data structures and object-oriented design.

• Implement a 3x3 Tic-Tac-Toe class with methods for making moves, checking for winners, and displaying the board.
• Extend the 3x3 logic to implement Ultimate Tic-Tac-Toe, accounting for complex move rules and nested win conditions.

Preparation at Hebbia should be structured around the ability to handle ambiguity. You will be expected to demonstrate deep technical competence while maintaining a focus on system scalability and user-centric design.

Technical Problem Solving – Interviewers look for your ability to break down complex, multi-part requirements into manageable components. Focus on writing clean, modular code that handles edge cases—such as invalid moves or system interruptions—gracefully.

System Design Thinking – You must move beyond basic CRUD operations to consider the requirements of AI-native applications. This includes understanding streaming protocols, managing token limitations, and orchestrating communication between specialized agents.

Communication and Clarity – As you design systems, articulate your trade-offs clearly. If you choose one data structure or architecture pattern over another, be prepared to explain why, specifically in the context of latency or system robustness.

The interview process at Hebbia is rigorous and mirrors the high-velocity nature of the company’s product development. Candidates typically progress through a series of technical assessments that include both coding challenges and system design discussions. The process is designed to evaluate your ability to think through engineering problems from first principles rather than relying on rote memorization.

Expect a balance between hands-on implementation and high-level architectural planning. Interviewers prioritize candidates who can demonstrate a deep understanding of their own code and the ability to pivot when constraints are introduced. You will likely interact with engineers who are building the core infrastructure, so be ready for a deep dive into the "how" and "why" of your technical decisions.

The visual timeline above illustrates the progression from initial technical assessment to architectural deep dives. It is important to note that the process is designed to be interactive; treat your interviewers as colleagues you are collaborating with to solve a problem. Managing your energy for these high-focus sessions is critical, as the rigor level remains consistent throughout the stages.

Multi-Agent Orchestration

This area tests your understanding of how independent agents work together to achieve a goal. You will be evaluated on how you manage state, handle agent communication, and decide which sub-agent is responsible for a specific task.

Be ready to go over:

• Task Delegation – How the orchestrator decides which agent to trigger.
• State Management – Tracking the progress of an inquiry across multiple agents.

As a Software Engineer, you will be responsible for building and maintaining the infrastructure that powers Hebbia's intelligence platform. Your day-to-day will involve writing clean, high-performance backend code and working closely with the design and product teams to implement features that make complex data accessible.

You will drive initiatives related to agentic workflows—ensuring that agents can efficiently retrieve information from sources like SEC filings—and you will be tasked with optimizing the throughput of the system. Collaboration is constant; you will frequently work with other engineers to refine API contracts, improve system latency, and ensure that the Hebbia chat interface remains responsive under load.

A strong candidate for this role possesses a blend of strong computer science fundamentals and a pragmatic, product-oriented mindset.

• Must-have skills:
  • Proficiency in high-level programming languages (e.g., Python, TypeScript).
  • Strong grasp of data structures and algorithms.
  • Experience designing backend systems that handle asynchronous data streams.
• Nice-to-have skills:
  • Prior experience with large language model (LLM) integration.
  • Familiarity with document parsing and extraction techniques.
  • Experience working in a fast-paced, startup environment.

Q: How much time should I spend preparing for the coding portion? A: Dedicate significant time to practicing object-oriented design and common data structure problems. The coding challenges are not about "gotchas" but about your ability to write clear, maintainable code under time pressure.

Q: Is the system design portion specific to AI? A: While the context is often AI or chat-based, the core principles—scalability, latency, and reliability—are standard. Focus on designing systems that can handle real-time feedback loops.

Q: What is the culture like at Hebbia? A: Hebbia values speed, technical depth, and a direct approach to problem-solving. You should expect a collaborative environment where high-quality code is expected from everyone, regardless of seniority.

Q: What is the typical interview timeline? A: The process is designed to be efficient. While it can vary, you should expect a quick progression once you demonstrate the required technical baseline.

• Think Out Loud: Always verbalize your thought process. It helps the interviewer understand your logic and allows them to guide you if you hit a wall.
• Clarify Requirements: Before you start coding or designing, ask questions to define the scope. This shows you are a thoughtful engineer who values precision.
• Optimize Later: Start with a working solution that meets the requirements, then iterate to optimize for performance or complexity.
• Focus on the User: Even in backend-heavy questions, keep the user's experience (e.g., responsiveness, reliability) in mind.

Joining Hebbia as a Software Engineer is an opportunity to build tools that redefine how professionals interact with information. The interview process is designed to identify engineers who are both technically rigorous and capable of navigating the ambiguity inherent in cutting-edge AI product development.

Focus your preparation on mastering your fundamentals, refining your system design skills, and staying product-focused. You have the potential to contribute significantly to the Hebbia mission. Use the insights provided here to guide your study, and remember that every interview is a chance to demonstrate your engineering problem-solving capabilities.

The compensation data provided above reflects typical ranges for this role. Use this information to understand the market positioning of the role and to help you evaluate your own expectations as you progress through the hiring process.