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 Frameworks, Python (Programming Language), API Management, Generative AI

Good to have skills : NA

Minimum 3 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, ensuring smooth communication between components through well-crafted interfaces. Daily activities include collaborating with cross-functional teams to deploy and maintain scalable solutions, applying best practices in software development and operational workflows, and continuously enhancing the performance and reliability of artificial intelligence applications within the organization.

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 software solutions that integrate with large language models and enterprise services.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate with stakeholders to align technical strategies with business objectives and project goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python Frameworks, API Management, Python (Programming Language), Generative AI.
- Robust experience in developing and maintaining RESTful APIs and microservices architectures.
- Familiarity with front-end technologies and frameworks to support full stack development.
- Knowledge of DevOps practices including continuous integration and continuous deployment pipelines.
- Ability to optimize AI applications for performance, scalability, and reliability.
- Experience with cloud platforms and containerization technologies to support deployment and orchestration.

Additional Information
- The candidate should have minimum 5 years of experience in Python Frameworks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

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