Getprimeresolve

Senior Software Engineer

Posted 3 Hours Ago

Hiring Remotely in United States

Remote or Hybrid

Senior level

3D Printing • AdTech • 3PL: Third Party Logistics

The Role

Designs and develops cloud-native full-stack applications using Node.js, Koa.js, React, and TypeScript. Builds agentic AI modules with Python and MCP architectures, develops reusable accessible UI components, maintains automated testing, resolves production issues, participates in architecture and technical design, improves performance and CI/CD systems, collaborates cross-functionally, and mentors engineers.

Summary Generated by Built In

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 architectures

Responsibilities

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 team’s engineering culture and best practices.
Identify opportunities for innovation, automation, and engineering efficiency.

Qualifications

Bachelor’s 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.

Skills Required

Bachelor’s 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 frontend architecture, and state management patterns
Experience with REST/HTTP, authentication flows, error handling, and performance optimization
Strong understanding of automated testing, including Vitest, unit testing, mock patterns, and Playwright or Cypress
Experience with Git, Bitbucket, code review workflows, and CI/CD pipelines
Hands-on programming experience building agentic AI workflows
Strong Python skills for AI agent development, orchestration, or tooling
Experience building or integrating Model Context Protocol 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
Ability to work in Agile/Scrum environments and collaborate across multiple teams
Ability to mentor junior and mid-level engineers and contribute to technical decision-making