We are looking for a Senior Software Engineer to join our Decisioning team. You will design and implement cloud native applications on our platform using Node.js, Koa.js, React, TypeScript, and modern build/test tooling. The role also involves developing intelligent, agentic AI driven capabilities using Python and MCP based architecturesResponsibilities Develop and maintain cloud applications using Node.js, Koa.js, React, TypeScript, and modern frontend frameworks. Implement high quality, scalable backend services and responsive frontend components. Design, develop, and maintain Agentic AI modules using Python and MCP, integrating them with existing services. Build reusable UI components and modern interfaces using CSS, PrimeReact, Vite, and accessibility focused principles. Write clean, maintainable, and well tested code across the full stack. Maintain and improve automated test suites using unit, integration, and end to end frameworks (e.g., Vitest, Cypress, Playwright). Debug production issues, perform root cause analysis, and deliver fixes promptly. Enforce coding standards through thoughtful peer reviews. Contribute to architectural discussions, technical design, and estimation activities. Collaborate with cross functional teams: QA, DevOps, Product Management, and UX. Drive improvements to frontend performance, accessibility, CI/CD pipelines, and build systems. Mentor other developers and help elevate the teams engineering culture and best practices. Identify opportunities for innovation, automation, and engineering efficiency.Qualifications Bachelors degree in Computer Science, Software Engineering or equivalent practical experience. 6+ years of professional software development experience. 2+ years of hands on React experience in production environments. Strong proficiency in JavaScript, TypeScript, Node.js, and Koa.js. Expert knowledge of HTML5, CSS3, modern FE architecture, and state management patterns. Experience with REST/HTTP (and optionally GraphQL), authentication flows, error handling, and performance optimization. Strong understanding of automated testing: Vitest, unit tests, mock patterns, e2e tools such as Playwright/Cypress. Experience with Git, Bitbucket, code review workflows, and CI/CD pipelines. Hands on programming experience building Agentic AI workflows. Strong skills with Python for AI agent development, orchestration, or tooling. Experience building or integrating Model Context Protocol (MCP) agents or similar agent framework architectures. Ability to design autonomous or semi autonomous agent behaviors, reasoning loops, and action pipelines. Understanding of prompt engineering, tool use patterns, context management, and LLM driven automation. Comfortable in Agile/Scrum environments, collaborating across multiple teams. Ability to mentor junior/mid level engineers and contribute to technical decision making.
Not specified in the original listing.
Not specified in the original listing.
