Full Stack Engineer | NYC
Selby Jennings is working with a FinTech startup that is transforming the way businesses approach credit decision-making through the power of AI. As an AI-driven finance automation platform, the company automates the entire credit lifecycle-from data ingestion to actionable insights-enabling businesses to make faster, smarter, and more efficient credit decisions.
Unlike traditional credit tools, the company is built for adaptability. The platform combines generative AI with custom workflow automation, allowing teams to scale operations without sacrificing speed or accuracy. Whether handling complex credit tasks or optimizing decision-making processes, the company's intelligent workflows dramatically reduce the time spent on manual tasks, helping businesses stay ahead in an increasingly competitive market.
With the company's platform, organizations gain access to tailored solutions that foster financial inclusion, drive economic growth, and unlock the full potential of their data. The cutting-edge platform doesn't just streamline workflows-it empowers teams to make data-driven decisions with confidence, ultimately boosting the bottom line.
The company is poised to transform credit processes into an AI-powered, highly efficient system where intelligence meets efficiency, elevating business operations to new heights.
Role Description
Seeking a Full Stack Engineer in the New York City Metropolitan Area. The engineer will be responsible for both the front-end and back-end development of the platform, utilizing JavaScript, React, and Python. The engineer will work on a variety of software development tasks, collaborating closely with other teams to enhance the platform's functionality.
Qualifications
- Back-End Web Development and Full-Stack Development
- Langchain and Gen AI agent frameworks
- Front-End Development and Cascading Style Sheets (CSS)
- Software Development skills
- Proficiency in JavaScript, React, and Python
- Experience with LLM, gen AI, ML is a plus!
- Experience with cloud-based technologies
- Strong problem-solving and communication skills
- Data Pipelines and ETL systems
- Bachelor's degree in Computer Science or related field
