Engineer Fullstack

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.