> Markdown version of [/jobs/ext/3841524-node-js-developer](https://www.wearedevelopers.com/jobs/ext/3841524-node-js-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Node js Developer - **Company:** AGM Tech Solutions, LLC - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, JIRA, Cloud Computing, Django Web Framework, Github, Python (Programming Language), Lightweight Directory Access Protocols (LDAP), PostgreSQL, MongoDB, Node.Js, Redis, Regression Testing, OpenAI, Ansible, Microsoft Copilot, Systems Integration, TypeScript, Datadog, Enterprise Software Applications, LangChain, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Backend, Agentic-AI, Fastapi, Build Management, AngularJS, Integration Tests, Kubernetes, Information Technology, Bots, Hashicorp, React Redux, Virtual Agents, Restful APIs, Amazon Simple Queue Service (SQS), Mocha, Workday, Docker, Jenkins, Servicenow, Microservices - **Published:** October 20, 2026 - **Apply:** https://www.dice.com/job-detail/bdc9547b-4c58-40a2-9fb9-11951dcad9dc ## About the Role * 5+ years of professional Node.js development experience * Strong, demonstrable Node.js/TypeScript experience is essential - candidates should be comfortable architecting, building, testing, and troubleshooting production Node.js services * Full-stack development experience with React and/or Angular * Hands-on experience integrating OpenAI, LLMs, or generative AI into production applications * Strong experience building REST APIs, microservices, and enterprise integrations * Experience with cloud infrastructure, preferably AWS * Experience with Docker and Kubernetes * Familiarity with prompt engineering, agentic workflows, and AI output validation * Working knowledge of Python and frameworks such as FastAPI, Flask, or Django is a plus * B.S./M.S. in Computer Science or related field, * AWS certifications (AI Practitioner, DVA, SAA) * Experience with Dell Boomi or similar workflow automation platforms * Enterprise DevOps experience with Vault, Ansible, or HashiCorp tooling * Go experience * Experience building MCP servers, connectors, or AI tool integrations ## Description We're looking for a Senior Node.js Full-Stack Engineer to design and build AI-powered applications, conversational assistants, and scalable backend platforms. The ideal candidate is highly experienced with Node.js, JavaScript/TypeScript, REST APIs, and modern full-stack development, with hands-on experience integrating LLMs and AI capabilities into production applications. You'll work across backend services, AI integrations, enterprise systems, and React/Angular front ends while collaborating with product and architecture teams to deliver production-ready solutions., * Architect and build AI-driven applications using Node.js, TypeScript/JavaScript, OpenAI/LLM APIs, LangChain, and agentic frameworks * Design, develop, and maintain scalable Node.js backend services, APIs, and microservices * Build and maintain Node.js test suites and tooling, including Mocha-based functional/integration testing and TDD workflows * Integrate enterprise platforms such as ServiceNow, Jira, Workday, and LDAP through REST APIs * Develop conversational AI tools, Slack bots, and Co-Pilot-style assistant experiences * Build and maintain React/Angular front ends with modern state management using Redux, React Query, or similar technologies * Develop AI testing and validation frameworks for hallucination detection, response consistency, regression testing, and output quality * Implement observability, monitoring, and metrics using tools such as Datadog * Build CI/CD pipelines using Jenkins, GitHub Actions, Docker, and Kubernetes * Work with PostgreSQL, MongoDB, Redis, and AWS services including S3, SQS, ECS, and Lambda * Collaborate with product, engineering, and architecture teams to deliver scalable, production-ready AI solutions