Job Description: We are seeking a Senior Software Engineer with expertise in AI/ML and Full stack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms. Qualification: Bachelor’s/master’s degree in computer science, AI, Machine Learning, or a related field. 5+ years of experience in AI/ML and full stack development. Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. Strong programming skills in Python, Java, Node.js, TypeScript. Deep understanding of cloud-based AI solutions (AWS, GCP, Azure). Experience in microservices, REST/WebSockets, and real-time API development. Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines. Experience in vector databases, RAG-based search, and AI-powered data retrieval. Responsibilities: Develop & Optimize Core AI/ML Features: Architect and implement AI-powered automation modules, search systems, and data retrieval models. Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques. Enhance workflow automation using Haystack, LangGraph, and Vector DBs. Lead Fullstack Platform Development: Design and build scalable microservices and event-driven architectures. Implement high-performance backend systems in Python, Java, and Node.js. Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript. AI Model Deployment & DevOps: Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms. Implement CI/CD pipelines, containerization, and scalable deployment strategies. Technical Collaboration & Best Practices: Work closely with Tech Leads and AI engineers to ensure efficient and scalable implementations. Follow best practices in software engineering, AI model deployment, and full stack architecture. Note: *We are hiring for our AI platform team. These are onsite positions for our Chennai location. Please visit our website link KAYA Global Inc. to know more. * Show more Show less

We are seeking a Technical Lead with expertise in AI/ML and Full stack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms. Qualification Bachelor’s/master’s degree in computer science, AI, Machine Learning, or a related field. 7+ years of experience in AI/ML and full stack development. Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. Strong programming skills in Python, Java, Node.js, TypeScript. Deep understanding of cloud-based AI solutions (AWS, GCP, Azure). Experience in microservices, REST/WebSockets, and real-time API development. Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines. Experience in vector databases, RAG-based search, and AI-powered data retrieval. Responsibilities: Develop & Optimize Core AI/ML Features: Architect and implement AI-powered automation modules, search systems, and data retrieval models. Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques. Enhance workflow automation using Haystack, LangGraph, and Vector DBs. Lead Fullstack Platform Development: Design and build scalable microservices and event-driven architectures. Implement high-performance backend systems in Python, Java, and Node.js. Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript. AI Model Deployment & DevOps: Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms. Implement CI/CD pipelines, containerization, and scalable deployment strategies. Technical Collaboration & Best Practices: Work closely with Tech Leads and AI engineers to ensure efficient and scalable implementations. Follow best practices in software engineering, AI model deployment, and full stack architecture. Note: We are hiring for our Core platform team. These are onsite positions for our Chennai location. Please visit our website link KAYA Global Inc. to know more.