LLM Full Stack Engineer

Project Role : LLM Full Stack Engineer Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications. Must have skills : Large Language Models (LLMs), AWS AI Services, Generative AI, AI Agents Workflow Integration, Agentic AI Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with advanced language models and various enterprise systems. The role requires balancing front-end and back-end development tasks, creating robust application programming interfaces, and ensuring smooth deployment through continuous integration and delivery practices. Collaboration with cross-functional teams to enhance artificial intelligence solutions and optimize system performance is a key aspect of daily activities, fostering innovation and efficiency within the technology environment. Roles Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the design and implementation of scalable AI-driven applications using Large Language Models. Mentor junior team members to support their professional growth and technical development. Coordinate with stakeholders to align technical solutions with business objectives. Professional Technical Skills: Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, AWS AI Services, AI Agents Workflow Integration. LangGraph (LangSmith Platform as a plus) experience, experience in building, deploying, debugging and optimizing AI agents Scenario modelling (pricing scenarios, market modeling, simulations, evaluations GenAI experience (LLM, preferably from AWS bedrock list) Claude code experience as a plus AWS proficiency is a must Graph DB (AWS Neptune) is a plus Strong experience in developing and deploying APIs that interact with AI models and enterprise services. Knowledge of front-end and back-end technologies to build full stack AI applications. Familiarity with DevOps methodologies to automate deployment and monitoring of AI solutions. Ability to optimize AI applications for performance, scalability, and reliability. Experience in troubleshooting and resolving complex technical issues in AI systems. The candidate should have minimum 5 years of experience in Large Language Models (LLMs). This position is based at our Bengaluru office. A 15 years full time education is required. Qualification 15 years full time education