Spclst , Software Engineering

MSDRahway, NJ
Hybrid

About The Position

This role focuses on full-stack software development, including front-end and back-end components, with a specialization in AI Agent & GenAI Development. The position involves designing, developing, and maintaining web applications, building scalable APIs, implementing responsive user interfaces, and writing clean, efficient code. A significant part of the role includes contributing to AI-powered features, integrating AI agents, chatbots, and automation flows, and applying prompt engineering techniques. The role also requires data and system integration, cloud deployment, DevOps practices, and collaboration within Agile teams to translate business requirements into technical solutions.

Requirements

  • High School Diploma required.
  • 3+ years of software development experience with strong exposure to full stack application development.
  • Proficiency in one or more programming languages such as Python, Java, or JavaScript/TypeScript, Reactjs with strong understanding of front-end and back-end development, including API design and integration.
  • Experience building scalable, maintainable, and well-documented code, with testing, debugging, and code review practices.
  • Hands-on experience implementing enterprise-level solutions using Large Language Models (LLMs), including prompt engineering.
  • Familiarity with AI tools and frameworks such as OpenAI APIs, LangChain, or similar, with experience in AI-powered use cases such as chatbots, copilots, automation flows, or retrieval/search workflows.
  • Working experience of cloud platforms such as AWS, with familiarity in Git, version control, CI/CD concepts, and Docker/containerization.
  • Experience in SQL, data querying, and data processing concepts, including integration with APIs, enterprise systems, and structured/unstructured data sources.
  • Strong collaboration and communication skills, with the ability to work effectively in Agile teams.

Nice To Haves

  • AI Architecture
  • Data Engineering
  • Data Visualization
  • Design Applications
  • Enterprise Data
  • Enterprise Systems
  • Monitoring Control
  • Software Configurations
  • Software Development Life Cycle (SDLC)
  • Solution Architecture
  • System Designs
  • System Integration

Responsibilities

  • Design, develop, and maintain both front-end and back-end components of web applications.
  • Build scalable, secure, and maintainable APIs and application services.
  • Implement responsive user interfaces and ensure smooth integration with backend systems.
  • Write clean, efficient, and well-documented code following engineering best practices.
  • Participate in code reviews, debugging, performance optimization, and refactoring.
  • Design and implement AI-powered features and intelligent workflows within applications.
  • Contribute to the development and integration of AI agents, chatbots, copilots, and automation flows.
  • Apply prompt engineering techniques and support LLM-based solutions.
  • Work with AI libraries and frameworks such as OpenAI APIs, LangChain, or similar tools.
  • Collaborate on use cases involving retrieval-augmented generation (RAG), search, and structured/unstructured data integration.
  • Integrate applications with internal and external APIs, services, and enterprise data sources.
  • Work with structured and unstructured data including documents, datasets, and knowledge repositories.
  • Implement data retrieval, search, and transformation workflows.
  • Ensure reliable integration between front-end, back-end, and AI services.
  • Deploy and support applications in cloud environments such as AWS.
  • Contribute to CI/CD pipelines, automation, and release processes.
  • Work with containerization tools such as Docker and support environment setup.
  • Assist with monitoring, troubleshooting, and operational support in lower and production environments.
  • Work closely with Architects, Tech Leads, product owners, and cross-functional teams.
  • Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and demos.
  • Translate business requirements into technical solutions.
  • Communicate progress, technical risks, and implementation details clearly.

Benefits

  • medical, dental, vision healthcare and other insurance benefits (for employee and family)
  • retirement benefits, including 401(k)
  • paid holidays
  • vacation
  • compassionate and sick days
  • annual bonus
  • long-term incentive
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