LLM Full Stack Engineer

Job description

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 : NA Minimum 7.5 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. Additional Information: • 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. 15 years full time education