Maximor AI · New York
Software EngineeringEngineeringFullTimeposted 13d ago
We're building the future of accounting. Our AI-powered agentic platform automates complex financial workflows — from reconciliation and audit prep to tax compliance and advisory — so accountants can focus on the work that actually matters. Backed by top-tier investors, we're a small, fast-moving team shipping product at a pace that would make most startups jealous.
We're looking for a Software Engineering Intern who's excited to build real features, ship real code, and see their work in the hands of real users — all in a single summer. You won't be working on a side project no one looks at. You'll be embedded in one of our product squads, contributing directly to our core platform alongside senior engineers, designers, and domain experts.
By the end of the summer, you'll have owned a meaningful project from scoping through delivery, presented your work to the company, and gained deep exposure to how AI agents, LLMs, and modern infrastructure come together to solve hard problems in finance.
Design, build, and ship features across our full stack (React/TypeScript front end, Python/FastAPI back end, PostgreSQL)
Work with LLM orchestration frameworks to develop, test, and improve our AI accounting agents
Collaborate with accountants and domain experts to understand real-world workflows and translate them into product
Write clean, well-tested code and participate in code reviews with experienced engineers
Tackle ambiguous problems — we'll give you ownership, context, and support, not a step-by-step playbook
Present your summer project to the full team at the end of the internship
Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (expected graduation 2027 or later)
Strong fundamentals in at least one programming language (Python, TypeScript/JavaScript, Go, or similar)
Familiarity with web development concepts (APIs, databases, front-end frameworks)
Genuine curiosity about AI/ML, large language models, or agentic systems — prior project work or coursework is a plus, not a requirement
Comfort with ambiguity and a bias toward action — you'd rather ship an imperfect v1 than deliberate forever
Strong communication skills and a collaborative mindset
Experience with LLM APIs (OpenAI, Anthropic, etc.) or prompt engineering
Exposure to accounting, fintech, or enterprise SaaS
Contributions to open-source projects
Familiarity with cloud infrastructure (AWS, GCP) or containerization (Docker, Kubernetes)
Real impact: Your code will be in production, used by accountants at real firms, before you go back to school.
Learn fast: Daily exposure to AI agents, LLM engineering, and complex financial domain problems — the kind of experience that's hard to get anywhere else.
Great team: Small enough that everyone knows your name, senior enough that you'll learn from every conversation.
Career launchpad: Strong interns receive full-time return offers. Several of our current engineers started as interns.