Large Language Model Full Stack Engineer

Job description

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 : 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.