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:
1. Design, develop, test and maintain scalable React.js and Node.js applications, microservices and REST APIs deployed on AWS serverless services.
2. Develop and integrate GenAI/LLM capabilities and AI agents into enterprise applications, including prompt engineering, tool/function calling, RAG and agentic workflows.
3. 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
1. Strong proficiency in React.js, JavaScript/TypeScript, Node.js, REST APIs, HTML5, CSS3 and responsive UI development.
2. Hands-on experience with AWS Lambda, API Gateway, S3, IAM, CloudWatch and Secrets Manager, along with CI/CD, automated testing and databases.
3. 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:
1. Experience with Agentic AI frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel or equivalent is preferred.
2. Exposure to MCP, AI evaluation/guardrails, infrastructure as code and application observability is desirable.
Gurugram
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