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 : Python on Azure, Large Language Models (LLMs), Agentic AI

Good to have skills : NA

Minimum 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 advanced language models with 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. The engineer collaborates across teams to enhance the performance and scalability of artificial intelligence solutions, while continuously refining the user experience and operational efficiency of the deployed applications.

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 that incorporate large language models.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
• Coordinate cross-functional efforts to align project goals with organizational objectives and deliver high-quality solutions.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Python on Azure, Large Language Models (LLMs), AGentic AI.
• Strong experience in developing and deploying cloud-native applications using Azure services.
• Expertise in building and consuming RESTful APIs to enable seamless integration between front-end and back-end components.
• Familiarity with DevOps methodologies including continuous integration, continuous deployment, and infrastructure as code.
• Ability to optimize AI models and applications for performance, scalability, and reliability.
• Experience with containerization technologies and orchestration tools to support microservices architecture.
  
  

Additional Information:

• The candidate should have minimum 5 years of experience in Python on Azure.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.