Fullstack Engineer

As a member of our team, you will be responsible for working on the Conversational Text AI Platform, where your primary tasks will include building and maintaining the system using cutting-edge LLM frameworks. You will collaborate closely with product owners and domain experts to develop reusable components for various business processes. Additionally, you will play a key role in developing core infrastructure and reusable components to facilitate the deployment of conversational AI systems. Your work will involve orchestration, prompt engineering, and integrating LLM-powered solutions with enterprise data platforms. In the realm of Generative AI & Model Optimization, you will be engaged in fine-tuning LLMs/SLMs using proprietary NBFC data, as well as performing distillation and quantization of models for edge deployment. Your responsibilities will also include evaluating and running LLM/SLM models on local/edge server machines. Furthermore, you will have the opportunity to build self-learning systems that can adapt without requiring full retraining, enabling real-time learning on the edge through lightweight local models. The ideal candidate for this role will possess a Bachelor's or Master's degree in computer science, engineering, or a related field, along with a minimum of 7 years of experience in Python, Node.JS, JavaScript, HTML/CSS, Redis, Postgres, Azure COSMOS, DevOps, and CI/CD, with exposure to AI/ML. Strong programming skills in Python, Node.JS, JavaScript, and HTML/CSS are essential, along with familiarity with Redis, Postgres, Vector Embeddings, Speech-to-Text & Text-to-Speech Services, Azure COSMOS, DevOps, CI/CD, Lang-Chain, or Lang-Graph. Experience in building or integrating LLMs for task automation, reasoning, or autonomous workflows, as well as a solid understanding of prompt engineering, tool calling, and agent orchestration, will be highly valued.,