Job Title

Job Purpose: Enterprise-level GenAI projects with hands-on experience in GenAI model integration and optimization Architect and hands-on developer of fullstack backend systems using Java, Spring Boot, ReactJS and/or Flutter for enterprise-grade UI applications and Spring Security Guide a team of GenAI developers working on LLaMA, Gemini, Gemma, and Mistral like models Design cloud-agnostic solutions deployed on AWS, GCP, or hybrid environments Apply TOGAF principles for scalable, enterprise-ready system architecture Ensure GenAI features are integrated into backend platforms through secure, optimized APIs Deliver high-quality, production-ready applications blending AI with traditional systems Responsibilities Build and maintain APIs to connect GenAI features with enterprise systems Fine-tune and optimize models like LLaMA, Gemini, and Mistral using PEFT, DeepSpeed Develop and manage backend systems using Java, Spring Boot, Spring Security Deliver responsive and scalable frontend apps using ReactJS/Flutter Implement agent-based GenAI workflows using LangChain, Autogen, CrewAI Mentor developers across fullstack and GenAI modules, ensuring code quality and delivery speed Keyskills Required: Min 15 Yrs of experience is required with hands-on GenAI experience with LLaMA, Gemini, Gemma, Mistral, Claude, CodeLLaMA Experience in Java Fullstack using Spring Boot and Spring Security Experience in frontend development using ReactJS and/or Flutter Proficient in Python, Hugging Face Transformers, PyTorch, PEFT, DeepSpeed Experience designing agent-based systems and decoding strategies (beam, top-k, top-p) Familiar with vector DBs like FAISS, Pinecone, Chroma Capable of integrating OpenAI, Anthropic, or other GenAI APIs Expertise in prompt engineering and custom LLM pipelines Sound understanding of TOGAF principles and enterprise architecture Experience building cloud-agnostic apps on AWS and GCP