The posting
Job Description
· 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.
Minimum Requirements
· Diploma or degree in Computer Science, IT, or a related discipline.
· 3–8 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.



