Full Stack Engineer

We are seeking a

Full Stack Engineer

with strong application development skills and hands-on experience in AI-assisted coding. The role involves building scalable web applications,

developing APIs,

and

integrating Generative AI

capabilities into enterprise solutions.

Key Responsibilities Design, develop, test, and deploy

full-stack applications

and

APIs. Build responsive frontends using

React, Angular, or Vue.js

and backend services using

Node.js, Python, or Golang. Develop microservices, system integrations, and data solutions using

SQL and NoSQL databases. Leverage AI coding assistants such as

GitHub Copilot, Cursor, Claude Code, or Gemini Code Assist

to improve development productivity. Apply prompt engineering and validate AI-generated code for quality, security, and maintainability. Integrate

LLMs and Generative AI

capabilities, including

RAG , chatbots, and AI agents. Implement automated testing, secure coding, code reviews, and CI/CD pipelines. Deploy and monitor applications using Docker, Kubernetes, and cloud platforms. Collaborate with cross-functional teams and follow responsible AI practices, including data privacy and intellectual property protection.

Requirements Diploma or degree in Computer Science, IT, or a related discipline. 3+ years of professional full-stack development experience. Strong hands-on experience with

at least one

backend technology:

Node.js, Python, or Golang . Experience with

React, Angular, or Vue.js ,

JavaScript/TypeScript, HTML, and CSS. Good understanding of

REST APIs , microservices, system integration, and

SQL/NoSQL

databases. Experience with Git, Agile development, automated testing, and CI/CD. Working knowledge of Docker, Kubernetes, and AWS, Azure, or GCP. Demonstrated practical experience using AI-assisted coding tools. Understanding of prompt engineering,

LLMs, embeddings, vector search, and RAG. Exposure to at least one GenAI platform, such as OpenAI, Azure OpenAI, Amazon Bedrock, Anthropic Claude, or Google Vertex AI. Strong problem-solving, communication, and collaboration skills.

Good to Have Experience delivering GenAI applications, RAG solutions, chatbots, or AI agents. Familiarity with LangChain, LlamaIndex, vector databases, or Model Context Protocol (MCP). Knowledge of AI evaluation, guardrails, and responsible AI practices.