Design, develop, and deploy AI and full-stack applications for enterprise finance workflows. Requires 2+ years B2B SaaS experience, a CS bachelor's, and expertise in OOP, relational databases, modern AI models, and accounting standards.
150k – 200k/yr
On-site2+ YOEFullstack Engineering
About the role
Responsibilities
Design, develop, test, and deploy both AI and full stack software applications for Enterprise clients.
Research and apply cutting-edge techniques in data processing, data structures, and distributed systems design.
Collaborate with cross-functional teams to define and refine project requirements and technical specifications.
Write clean, efficient, and maintainable code following industry best practices and internal coding standards.
Participate in code reviews, debugging, and performance tuning of enterprise applications.
Work with database systems such as PostgreSQL for data storage and retrieval.
Integrate external financial systems and APIs (e.g., NetSuite, QuickBooks) with algorithmic data pipelines.
Document software design and processes to ensure maintainability and knowledge transfer.
Requirements
Bachelor’s degree in Computer Science.
At least 2 years professional experience in B2B SaaS software and building software applications for financial workflows.
Experience utilizing at least one object-oriented programming language (e.g., Java, C++).
Experience working with relational databases (e.g., MySQL, Oracle).
Experience with modern AI models, including transformers, neural networks, and LLMs.
Knowledge of U.S. GAAP accounting principles and ASC 606.
Demonstrated expertise in algorithm development through academic or industry publications in areas such as big data algorithms, distributed systems, or high-performance computing.
Proof of legal authority to work in the United States.
Perks and Benefits (Full-time Employees)
Competitive compensation and equity
Unlimited PTO
Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
Lunch provided via Sharebite, plus dinner for any later in office days
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