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Full Stack Engineer

Job in Fort Lee, Bergen County, New Jersey, 07024, USA
Listing for: Jobverse.io
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Cross River builds financial infrastructure and technology solutions that power payments, cards, lending, and digital asset capabilities. The company is seeking a Senior Full Stack Engineer to design and build an LLM-based Agentic platform, including Python and Node.js services, MCP servers, and React interfaces. The role also involves collaborating across product, compliance, and engineering teams to deliver secure, scalable, regulatory-compliant financial technology.

Responsibilities
  • Design, build, and continuously improve our LLM-based Agentic platform. Own end-to-end architecture decisions from model orchestration and prompt design to retrieval pipelines, tool-calling patterns, and evaluation frameworks
  • Architect and build high-performance services in Python and/or Node.js. Design systems for extreme speed, reliability, and real-time data processing under high traffic conditions
  • Design and maintain MCP servers that give AI agents structured, secure access to internal banking systems, external APIs, databases, and developer tools making Agentic platform composable and extensible by design
  • Build intuitive React interfaces that expose AI capabilities like chat interfaces, agentic dashboards, real-time streaming UIs, and internal tooling. Own state management patterns and component architecture at scale
  • Partner with product managers, business stakeholders, compliance, and engineering teams to translate vision into scalable technical requirements and roadmaps
  • Design and ensure the platform meets enterprise-grade security and financial regulatory standards
  • Actively upskill fellow engineers on full-stack best practices, LLM integration patterns, and production of AI systems. Help define coding standards and contribute to a culture of engineering excellence
  • Evaluate emerging models, frameworks, and tooling. Prototype and integrate the most impactful advances into our platform and internal developer productivity tooling
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