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
Valuable 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,
📌 LLM Full Stack Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru
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