About the Software Engineer Intern Role at Maxima

Maxima is building the first agentic AI platform for enterprise accounting, purpose built to deliver SOX compliant, real time close. As a Software Engineering Intern on the Engineering & Product team in San Mateo, you will work directly with senior engineers and founders to help build the foundation of an AI-native accounting platform. This is a hands-on role: you will write production-quality code, contribute to full-stack features, and get real exposure to large language model integrations, workflow orchestration, and data-intensive systems.

Concretely, the posting says you will contribute to core product features like journal entry automation, reconciliations, and anomaly detection, build APIs and integrations with ERPs, HRIS, and banking platforms, and assist in developing agentic workflows using LLMs. Maxima is looking for someone with strong CS fundamentals, comfort in at least one modern language (Go, Python, TypeScript, or Java), familiarity with front-end frameworks like React or Next.js, and genuine curiosity about how AI and automation transform enterprise software.

Quick Stats

* Typical process: 3 to 4 rounds, roughly 2 to 4 weeks (recruiter screen, technical, and a team/founder round)

* Format: Video calls, with a possible take-home or live coding exercise; startup interviews move fast

* Core focus: CS fundamentals, full-stack (React/Next.js + backend), APIs and integrations, LLM/agentic curiosity, collaboration

* Difficulty: Moderate. Expect solid algorithm and system reasoning plus real interest in the accounting/AI domain, since this is a small, high-bar startup

What Maxima Looks For

* Strong foundation in data structures, algorithms, and databases

* Practical experience in at least one modern language (Go, Python, TypeScript, or Java) and a front-end framework

* Curiosity about AI, automation, and applying LLMs to real enterprise problems

* Ability to work independently, learn quickly, and collaborate in a fast-paced startup

Round 1: Recruiter Screen (~30 minutes)

What to Expect

This first call is a conversational screen with a recruiter or an early team member. Expect questions about your background, your availability for a full-time internship in San Mateo, your coursework, and why Maxima specifically. Because Maxima is an early-stage startup solving a hard, specific problem (real time, SOX compliant close), they will care that you are genuinely interested in the AI-plus-accounting mission rather than just any internship. Be ready to give a short, clear pitch of a project you are proud of.

Example Questions

* "Walk me through your background and what you are studying right now."

* "Why Maxima, and what interests you about AI in enterprise accounting?"

* "What languages and frameworks are you most comfortable with, and where did you use them?"

* "Are you available for a full-time internship in San Mateo, and what is your timeline?"

Tips

* Have a crisp 60-second story that connects a project you built to Maxima's mission of automating financial workflows.

* Show you have done homework: mention their agentic close platform and that curiosity about LLMs and automation the posting calls out.

* Rehearse this conversational open with Nora's Standard Mode so your intro, motivation, and availability answers feel natural and tight.

Round 2: Technical Coding Round (~60 minutes)

What to Expect

This is the core technical evaluation, likely a live coding session (and possibly a short take-home). Given the posting's emphasis on CS fundamentals, expect data structures, algorithms, and complexity questions, plus practical coding in a language you know (Go, Python, TypeScript, or Java). You may also get lighter questions on databases and API design, since the role involves building APIs and integrations. The goal is to see clean, correct, production-quality code and clear reasoning under mild time pressure.

Example Questions

* "Given a stream of transactions, detect anomalies where amounts deviate beyond a threshold. How would you code it?"

* "Reconcile two lists of records (say ledger entries vs. bank entries) and return the mismatches efficiently."

* "Explain the time and space complexity of your solution, and how you would optimize it."

* "How would you design a simple REST API to expose journal entry data, and what would the endpoints look like?"

Tips

* Think out loud: state your approach, edge cases, and complexity before and while you code.

* Practice mid-difficulty problems on arrays, hash maps, and strings, and be ready to translate them into the accounting-flavored framing Maxima uses.

Round 3: Full-Stack / Systems and Domain Round (~60 minutes)

What to Expect

Here an engineer will dig into applied engineering: front-end and back-end reasoning, basic system design, and how you think about building real product features. Expect discussion tied to the posting's responsibilities, such as building integrations with ERPs, HRIS, and banking platforms, structuring an agentic workflow using LLMs, or wiring up a React/Next.js interface to a backend service. They want to see practical judgment about scalability, observability, and reliability at a level appropriate for an intern who has shipped projects.

Example Questions

* "How would you design an integration that pulls data from an external ERP or banking API and keeps it in sync?"

* "You need a UI in React/Next.js to display reconciliation results. Walk me through the component and data-fetching structure."

* "How might you use an LLM in an agentic workflow to automate part of the month-end close, and where would you add guardrails?"

* "How would you make a data-intensive feature observable so you can debug failures in production?"

Tips

* Ground answers in projects you actually built; explain tradeoffs rather than reciting buzzwords.

* Show awareness of correctness and safety, which matters enormously in a SOX compliant, accounting context (validation, auditability, handling bad data).

Round 4: Team / Founder and Behavioral Round (~45 minutes)

What to Expect

At an early-stage startup like Maxima, you will likely meet a founder or senior engineer for a culture-fit and behavioral conversation. Expect questions about how you learn quickly, work independently, handle ambiguity, and collaborate with designers and product managers, all things the posting explicitly values. They are assessing whether you can thrive in a fast-paced, mission-driven environment and potentially convert to full-time. Bring thoughtful questions about the product and the accounting problem.

Example Questions

* "Tell me about a time you had to learn a new technology quickly to ship something."

* "Describe a project you owned end to end and a hard tradeoff you had to make."

* "How do you handle working on an ambiguous problem with limited guidance?"

* "Tell me about a time you disagreed with a teammate or received tough feedback, and what you did."

Tips

* Prepare 3 to 4 STAR stories covering ownership, fast learning, collaboration, and handling a setback.

* Connect your motivation to Maxima's mission so the founder sees genuine interest in transforming accounting, not just resume-building.

* Rehearse these stories in Nora's Behavioral Mode so your STAR answers stay structured, specific, and under two minutes each.

Frequently Asked Questions (FAQ)

1) How many rounds are there?

Expect roughly 3 to 4 rounds: a recruiter screen, a technical coding round, a full-stack/systems and domain round, and a team or founder behavioral conversation. Since there are no public candidate reports for this role, treat this as the typical structure for a startup of Maxima's stage rather than a confirmed sequence; some rounds may be combined.

2) What topics are most common?

* CS fundamentals (data structures, algorithms, complexity, databases) and clean coding in Go, Python, TypeScript, or Java

* Full-stack reasoning (React/Next.js plus backend), API and integration design, and curiosity about LLMs and agentic workflows

3) How long does the process take?

Usually about 2 to 4 weeks end to end. Early-stage startups often move faster than large companies, so be ready for tightly scheduled rounds and quick turnarounds.

4) How should I prepare?

* Review core algorithms and data structures, and practice mid-level coding problems while narrating your approach.

* Build or revisit a full-stack project (ideally something with an API and a React/Next.js front end) so you have concrete examples to discuss.

* Read up on how LLMs and agentic automation apply to enterprise workflows so your domain curiosity comes through authentically.

* Practice with Nora AI: use Standard Mode for the recruiter screen, Technical Mode for the coding and full-stack/systems rounds, and Behavioral Mode for the founder round; if you reach an offer, use Salary Negotiation Mode to discuss the stipend confidently.