LLM Full Stack Engineer

LLM Full Stack Engineer

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.

Large Language Models (LLMs), Machine Learning (ML), Generative AI

NA

Minimum

year(s) of experience is required

15 years full time education

Summary:

As an LLM Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with Large Language Models and various enterprise systems. The role requires balancing front-end and back-end development tasks, creating robust application programming interfaces, and ensuring smooth deployment through DevOps methodologies. The engineer collaborates with cross-functional teams to enhance the performance and scalability of artificial intelligence solutions, continuously refining and optimizing the software to meet evolving business needs and technical challenges.

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 review and improve code quality and application performance.

- Assist in troubleshooting and resolving technical issues to maintain system reliability.

- Support junior team members by sharing knowledge and providing guidance on project tasks.

Professional & Technical Skills:

- 7 years of experience

- Expertise in solutioning and delivering enterprise GenAI solutions (LLM apps, advanced RAG, multi-agent frameworks).

- Hands-on with OpenAI / Azure OpenAI, Agentic SDKs, LangChain

- Strong Python engineering FastAPI (or similar Django/Flask).

- Build and deploy cloud-native AI on Azure (App Service, Kubernetes, AML, AKS, Key Vault).

- CI/CD experience: GitLab.

- Good knowledge of SQL (PostgreSQL/MySQL/SQL Server) and ORMs.

Nice to have

React frontend knowledge

Solid MLOps/LLMOps, evaluation frameworks, observability.

Ansible

- Must To Have Skills: Proficiency in Large Language Models (LLMs).

- Experience in developing and integrating APIs for seamless communication between front-end and back-end systems.

- Familiarity with DevOps practices to automate deployment and monitoring of AI applications.

- Strong understanding of server-side technologies and front-end frameworks to build scalable applications.

- Ability to optimize AI models and applications for performance and resource efficiency.

Additional Information:

- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).

- This position is based at our Pune 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 

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