Job
Description
Role Overview: As a GenAI Sr. Developer at Birlasoft, you will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. Your role will require hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. You will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Key Responsibilities: - Build GenAI applications from scratch using frameworks like Langchain, LangGraph, and LlamaIndex. - Demonstrate practical knowledge of Multi-agentic AI frameworks like Langgraph, Autogen, and Crew AI. - Develop high-quality, efficient, and maintainable Python code for GenAI solutions. - Design and implement architectures for handling large-scale structured and unstructured data. - Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. - Design and implement data modernization and transformation pipelines to support GenAI applications. - Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. - Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. - Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Knowledge of AWS for deploying and managing GenAI applications is an added advantage. - Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. - Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. - Ensure ethical AI practices are embedded in the development process. - Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. - Build tools and pipelines for automated data curation and preprocessing. - Create detailed technical documentation for developed applications and processes. - Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. - Guide and mentor junior developers, fostering a culture of technical excellence and innovation. Qualifications Required: - Bachelor's degree in computer science, Information Technology, or related field. - 6+ years of relevant experience. - Deep expertise in Python programming for building GenAI applications and automation tools. - Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. - Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI and Agentic AI applications. - Mastery of fine-tuning techniques such as PEFT, QLoRA, LoRA, and other methods. - Strong knowledge of LLMOps practices for model deployment, monitoring, and management. - Expertise in implementing ethical AI practices and ensuring compliance with regulations. - Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. - Proficiency in OCR and document intelligence using cloud-based tools. - Experience with REST, SOAP, and other protocols for API integration. - Expertise in building automated data curation and preprocessing pipelines. - Ability to create clear and comprehensive technical documentation. - Strong collaboration and communication skills to work effectively with cross-functional teams. - Proven ability to mentor junior developers and foster a culture of technical excellence.,
