Software Engineer

• Help design, build and continuously improve the clients online platform.
  
• Research, suggest and implement new technology solutions following best practices/standards.
  
• Take responsibility for the resiliency and availability of different products.
  
• Be a productive member of the team.
  

Location: Bedminster, NJ; Middletown, NJ; Atlanta, GA; Alpharetta, GA; Bothell, WA; or Dallas, TX
Work Authorization: US Citizen / Green Card

Requirements

• Software Engineer with strong backend development experience to build scalable applications, APIs, and integrations.
  
• Design, develop, and maintain scalable backend services using Node.js.
  
• Build and maintain REST APIs and backend integrations connecting internal and external applications.
  
• Develop clean, reusable, and maintainable backend components using relational and/or NoSQL databases.
  
• Implement authentication, authorization, logging, error handling, and API security.
  
• Collaborate with frontend developers working with Angular or similar frameworks.
  
• Integrate applications with LLM and Generative AI APIs.
  
• Support the development of RAG-based applications using enterprise data and documents.
  
• Work with Model Context Protocol (MCP) servers, tools, and custom integrations.
  
• Support the development of AI agents and agent-based workflows.
  
• Write unit and integration tests, participate in code reviews, and troubleshoot application/API issues.
  
• Participate in application deployment and CI/CD processes.
  
• Strong software development fundamentals with hands-on backend development experience in Node.js, JavaScript, and/or TypeScript.
  
• Strong experience developing and consuming REST APIs.
  
• Strong understanding of API authentication and authorization mechanisms, including OAuth, JWT, and API keys.
  
• Experience with databases such as PostgreSQL, MySQL, MongoDB, or similar.
  
• Experience with Git, software development workflows, application architecture, error handling, logging, and debugging.
  
• Basic understanding or hands-on exposure to Generative AI concepts.
  
• Large Language Models (LLMs) and Prompt Engineering
  
• Retrieval-Augmented Generation (RAG), Embeddings, and Vector Databases
  
• Model Context Protocol (MCP) and AI tool calling
  
• AI agents and agent workflows
  
• Integration with LLM APIs such as OpenAI, Gemini, Claude, and Azure OpenAI
  
• Advanced machine learning or data science experience is not required.
  
• Experience with TypeScript and Angular or another modern JavaScript frontend framework.
  
• Experience with Express.js, NestJS, or similar Node.js frameworks.
  
• Experience with Docker, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP.
  
• Experience with AI frameworks such as LangChain, LangGraph, or Semantic Kernel.
  
• Experience with vector databases such as Pinecone, pgvector, or Chroma.
  
• Experience building applications that integrate with enterprise AI services.
  
  

Benefits

• A challenging, innovating environment.
  
• Opportunities for learning where needed.