Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Generative AI

Good to have skills : Node.js, React.js

Minimum 2 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

We are looking for a Full Stack Developer with 2–5 years of hands-on software development experience to develop and maintain cloud-native applications using React.js, Node.js and AWS Serverless technologies. The role requires practical exposure to Generative AI, LLM-based applications and Agentic AI, with opportunities to build and integrate AI-powered capabilities into enterprise applications.

Roles & Responsibilities:

• Develop and maintain responsive React.js applications, Node.js services, microservices and REST APIs deployed on AWS serverless technologies.
• Develop and integrate GenAI/LLM capabilities and AI agents, including prompt engineering, tool/function calling, agent workflows and RAG as applicable.
• Integrate applications with enterprise systems, APIs, databases, knowledge sources and external tools while following secure and maintainable engineering practices.
• Participate in testing, debugging, code reviews, deployments, monitoring, Agile ceremonies and resolution of application and AI-related issues.
  
  

Professional & Technical Skills

• Good proficiency in React.js, JavaScript/TypeScript, HTML5, CSS3, Node.js, REST APIs and responsive UI development.
• Hands-on experience with AWS Lambda, API Gateway, S3, IAM and CloudWatch, along with Git, CI/CD, databases, debugging and automated testing.
• Practical understanding of GenAI/LLM application development and experience with at least one platform such as Amazon Bedrock, OpenAI, Anthropic or Azure OpenAI.
• Understanding of Agentic AI concepts, AI agents, agent workflows, tool/function calling, prompt engineering, authentication/authorization, OAuth2, JWT and SSO.
  
  

Additional Information:

• Exposure to Agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, Amazon Bedrock Agents or equivalent is preferred.
• Familiarity with RAG, embeddings, vector databases, semantic search, knowledge bases, MCP, AI evaluation, guardrails and Responsible AI is desirable.
• Ability to work effectively in Agile teams and continuously adopt modern software development and AI-assisted engineering practices.