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 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

We are looking for a Full Stack Developer with 5–8 years of hands-on software development experience to build scalable cloud-native applications using React.js, Node.js and AWS Serverless technologies. The role also requires practical experience in Generative AI, LLM-based applications and Agentic AI solutions.

Roles & Responsibilities:

• Design, develop, test and maintain scalable React.js and Node.js applications, microservices and REST APIs deployed on AWS serverless services.
• Develop and integrate GenAI/LLM capabilities and AI agents into enterprise applications, including prompt engineering, tool/function calling, RAG and agentic workflows.
• Collaborate with architects, technical leads, QA, UX and product teams contribute to technical design, code reviews, troubleshooting, performance optimization and CI/CD automation.
  
  

Professional & Technical Skills

• Strong proficiency in React.js, JavaScript/TypeScript, Node.js, REST APIs, HTML5, CSS3 and responsive UI development.
• Hands-on experience with AWS Lambda, API Gateway, S3, IAM, CloudWatch and Secrets Manager, along with CI/CD, automated testing and databases.
• Practical knowledge of GenAI/LLMs, Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI, Agentic AI, RAG, embeddings, vector databases, semantic search, OAuth2/JWT/SSO and AI security/Responsible AI practices.
  
  

Additional Information:

• Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel or equivalent is preferred.
• Exposure to MCP, AI evaluation/guardrails, infrastructure as code and application observability is desirable.