LLM Full Stack Engineer

Accenture; Pune District; On-site; INR 350,000 - 550,000; Full time

Job summary

Accenture in Pune is seeking an LLM Full Stack Engineer to design and build applications that integrate with Large Language Models and enterprise systems. You will balance front-end and back-end tasks, implement APIs, and enable smooth deployment through DevOps practices.

The role requires strong Python engineering (FastAPI or Django/Flask), experience with OpenAI/Azure OpenAI and LangChain, and cloud-native deployment on Azure.

Qualifications

• Proficiency in Large Language Models (LLMs).
• Experience developing and integrating APIs for front-end/back-end communication.
• Familiarity with DevOps practices to deploy and monitor AI apps.
• Strong server-side and front-end framework knowledge.
• Ability to optimize AI models and applications for performance.

Responsibilities

• Design and build applications that integrate with LLMs and enterprise systems.
• Develop APIs and ensure robust deployment through DevOps.
• Collaborate with cross-functional teams to improve AI solutions.
• Review code and optimize application performance.

Skills

Large Language Models

Machine Learning

Generative AI

OpenAI/Azure OpenAI

LangChain

Python (FastAPI)

CI/CD (GitLab)

SQL ORM

Cloud-native deployment (Azure)

React (nice to have)

Education

15 years full time education

Tools

OpenAI

Azure OpenAI

Agentic SDKs

Kubernetes

App Service

AKS

Key Vault

LangChain

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

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

Good to have skills

NA

Minimum Years of Experience

5 year(s) of experience is required

Educational Qualification

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.

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