AI Engineer Intern

Lime

is a financial technology group serving active and institutional traders, with an established product suite spanning execution, market data, and quantitative research infrastructure.

As the firm expands its institutional business, it is investing in the internal systems behind it: onboarding, client-facing portals, data pipelines, and the integrations that connect them. This search supports that build-out.

We are looking for curiosity and tenacity above credentials. Students who perform well will be given increasing ownership over individual modules and a clear path toward a longer-term engagement with the firm.

Location & Format

Location

New York, hybrid (3 days in office, Midtown, next building from Penn Station)

Format

Part-time or full-time options available

Reports to

Department leads

Key Responsibilities

· AI-assisted development – Use AI coding tools (e.g., Claude Code, CodeX, Cursor, GitHub Copilot) as a core part of daily work to design, write, test, and document code, and build LLM-powered steps into internal workflows where they add value

· System integration – Design, build, and maintain API connectors between internal and external databases and systems

· Module development & automation – Support the development and automation of core internal modules, including client onboarding and the client portal

· Data processing & management – Structure, clean, and analyze diverse datasets; set up reliable database connections and keep data logic consistent across systems

· Technical collaboration – Work directly with lead engineers and department heads to translate business logic into working code and automated scripts

· Independent problem-solving – Read documentation, investigate unfamiliar systems, and resolve technical problems independently before escalating

Target Candidate Profile

Fields of Study

· Master’s or upper-level Bachelor’s students in Quantitative Finance, Financial Engineering, Computer Science, Data Science, Physics, Computational Finance, Financial Mathematics,

· Ideally with a minor or concentration in Data Science or Finance

Track Record Beyond Coursework

Preference will be given to students who have shown initiative outside the standard curriculum, for example:

· Math, physics, or programming olympiads

· Coding competitions and hackathons

· Business case challenges

· Active roles in technical, quantitative, or finance student clubs

Requirements

· Analytical rigor – Strong mathematical foundation, logical reasoning, and a structured approach to problem-solving

· Software & data fundamentals – Practical programming experience with a solid grasp of software development principles, APIs, database architecture, and data structures

· Hands-on AI programming experience (required) – Demonstrated experience building software with AI coding assistants and LLM tools; be ready to walk through a concrete project and explain how you used AI to build it and how you verified its output

· Curiosity – Real curiosity about how systems and financial businesses work, evident in projects you started on your own

· Tenacity – The persistence to work through documentation and unfamiliar codebases and to finish difficult tasks without step-by-step guidance

· Coachability – Openness to direct code review and the ability to apply feedback quickly

· Clear written and spoken English

Strong Plus Qualifications

· Experience building with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, RAG, or agent frameworks

· Experience with REST APIs, webhooks, or integration and automation platforms

· Familiarity with relational databases and basic data modeling

· Personal or academic projects available on GitHub or a portfolio

· Interest in markets, trading, or financial technology

What This Role Is Not

To save everyone time: this is not a quantitative research or trading position. We are looking for strong data skills, sound logic, and solid software engineering fundamentals. Nor is it a role for someone who treats AI tools as optional: they are central to the day-to-day work. Equally, this is not a passive observation role. Students who prefer well-defined tasks with close supervision at every step are unlikely to enjoy it; those who like to take a vague problem, read up, and come back with working code will.

Pay: $25.00 - $35.00 per hour

Benefits

* Flexible schedule

Work Location: Hybrid remote in New York, NY 10040