LLM Full Stack Engineer

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 : Machine Learning (ML)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based services. The role requires integrating these solutions into robust pipelines that are ready for production environments, ensuring reliability and scalability. The engineer works on implementing generative artificial intelligence models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical solutions with project goals is a key aspect of the daily workflow.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to continuously improve system performance and reliability.
- Assist in documenting technical processes and solutions to support knowledge sharing within the team.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Experience with designing and deploying AI models in cloud or on-premises environments.
- Strong understanding of generative artificial intelligence techniques and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize pipelines for production-ready AI solutions.

Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.