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Daylit (Formerly Lendica)

Full Stack AI Engineer Co-Op (Northeastern Students only) Spring 2027

Daylit (Formerly Lendica)

Location
Onsite (Boston, MA)
Compensation
$20 - $20/hr
Employment
Full-time
Level
Entry Level
Posted 2 days ago

About the Role

Daylit is a Boston-based fintech startup building an AI agent platform for accounts receivable to automate collections and cash flow forecasting. The Full Stack AI Engineer Co-op role involves developing full-stack applications using Python, Django, and React to enhance these AI-driven financial tools.

Skills

Python Django JavaScript React SQL Backend Development Frontend Development API Development Machine Learning Data Science Database Optimization Performance Tuning Agile Problem-solving Teamwork

Full job details

About

Daylit is a leading AI agent platform for accounts receivable. Our platform automates the manual work of collecting and reconciling invoices so finance teams can scale credit and collections teams without adding headcount. Our customers trust Daylit to deliver a complete view of portfolio health — surfacing at-risk accounts, predicting payment timing, and powering accurate cash flow forecasts. Companies with high invoice volume use Daylit to reduce DSO, eliminate repetitive work, and know exactly when cash will hit the bank.

The Role

We are looking for a Full Stack AI Engineer Co-op to help design and scale our AI-powered finance products. You’ll work closely with engineering and product teams to build new features, optimize APIs, and support machine learning workflows. This is a hands-on opportunity to develop in both backend and frontend systems within a high-growth fintech startup.

What You’ll Do

  • Develop and enhance full-stack applications (Python/Django, React).

  • Collaborate on AI-driven financial tools and APIs.

  • Contribute to database optimization and performance tuning.

  • Participate in code reviews and agile sprint planning.

What We’re Looking For

  • Experience with Python and JavaScript (React preferred).

  • Familiarity with SQL and backend frameworks.

  • Interest in AI, fintech, and applied data science.

  • Strong problem-solving and teamwork skills.