Finance AI Co‑op: Build & Scale Practical Tools

Lila Sciences, Inc.; Cambridge (MA); On-site; USD 30,000 - 39,000; Part time

Job summary

Lila Sciences is seeking a co-op to advance AI-enabled finance tooling. You’ll work across FP&A, Procurement, and Accounting, designing prototypes with LLM APIs and leveraging the existing finance tech stack.

This hands‑on role emphasizes shipping usable tools that improve efficiency and decision accuracy, with immediate impact across the finance function. Ideal for students in undergrad or masters programs who can commit to January through June, and who can translate exploratory work into

Qualifications

• Hands-on experience using an LLM API (Anthropic, OpenAI, or similar) to build something beyond chat.
• Finance coursework sufficient to partner credibly with FP&A, Procurement, and Accounting stakeholders.
• Comfort ramping quickly on unfamiliar business software and integrating against it.
• Ability to scope ambiguous problems into shippable prototypes.
• Currently pursuing an undergraduate or master’s degree and available for Jan–Jun term.

Responsibilities

• Identify high‑value AI use cases across FP&A, Procurement, and Accounting.
• Prototype tools using LLM APIs against Finance workflows and internal data sources.
• Partner with finance stakeholders to accelerate pilots into scalable playbooks.
• Measure time savings and accuracy gains to guide adoption and rollout.

Skills

LLM API experience

Finance domain knowledge

Stakeholder collaboration

Rapid prototyping

Education

Undergraduate or Master's student

Tools

ERP/FP&A systems

Job description

Lila Sciences is seeking a co-op to advance AI-enabled finance tooling. You’ll work across FP&A, Procurement, and Accounting, designing prototypes with LLM APIs and leveraging the existing finance tech stack.

This hands‑on role emphasizes shipping usable tools that improve efficiency and decision accuracy, with immediate impact across the finance function. Ideal for students in undergrad or masters programs who can commit to January through June, and who can translate exploratory work into