Fullstack Engineer with AI

Core skills needed                                                                                                                                     

• 12+ years of full-stack engineering experience with a demonstrated ability to design, build, and scale production-grade applications.
• 10+ years of experience delivering customer-facing technology solutions in consulting, product engineering, or enterprise environments.                                                                                                                                                         
• Proven track record of leading end-to-end solution delivery, from architecture and development through deployment and operational support.                                                                                                                                                 
• Hands-on experience building scalable data pipelines, APIs, microservices, and modern web applications.                                                                                                                                                   
• Experience designing and implementing AI-powered applications using Large Language Models (LLMs), including integration with platforms such as OpenAI, Anthropic, and Google Gemini.                                                                               
• Strong understanding of Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, model evaluation, and enterprise AI application patterns.                                                                                                                                                      
• Proficiency with AI-assisted software development tools, including GitHub Copilot and other developer productivity platforms.                                                                                                                                               
• Hands-on experience developing and deploying cloud-native solutions on AWS, Azure, or Google Cloud Platform.                                                                                                                                                          
• Experience implementing CI/CD pipelines, automated testing, infrastructure-as-code, and production deployment best practices.                                                                                                                                                     
• Strong understanding of application security, observability, monitoring, and operational excellence in enterprise environments.                                                                                                                                                         
• Databricks Data Engineer Professional certification preferred; hands-on Databricks experience is highly desirable.                                                                                                                                                          
• Excellent communication, stakeholder management, and consulting skills, with the ability to translate business requirements into scalable technical solutions.       

Please share resumes to