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), Test Management

Good to have skills : NA

Minimum 12 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 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 various teams to enhance artificial intelligence solutions and optimize system performance is a key aspect of daily activities, fostering innovation and efficiency within the project 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.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the design and implementation of scalable AI-driven applications that utilize large language models.
• Mentor junior team members to support their professional growth and ensure alignment with project goals.
• Coordinate cross-functional efforts to align technical strategies with business objectives.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models (LLMs), Test Management.
• Strong experience in developing and integrating APIs for AI applications.
• Expertise in front-end and server-side technologies to support full stack development.
• Familiarity with DevOps methodologies to streamline deployment and monitoring of AI systems.
• Ability to optimize performance and scalability of AI-driven solutions.
• Experience in troubleshooting and resolving complex technical challenges in multi-team environments.
  
  

Additional Information:

• The candidate should have minimum 12 years of experience in Large Language Models (LLMs).
• This position is based at our Bengaluru office.
• A 15 years full time education is required.