The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires 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. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and effective solutions.

Key Responsibilities:
Application Development: Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
Python Programming: Develop high-quality, productive, and maintainable Python code for GenAI solutions.
Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
Fine-tune SLM(Small Language Model) for domain specific data and use cases.




Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends.
Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications.
OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools.
API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery.
Cloud Platform Expertise: Leverage Azure, GCP, and AWS for deploying and managing GenAI applications.
Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases.
LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and mo

📌 Gen Ai Architect Bsl Bengaluru
🏢 TalentOla
📍 Bengaluru