LLM Full Stack Engineer

Location: Gurugram

Time Type: Full time

Job Description

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.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.