LLM Model Developer - Pune, PDC3B | Accenture Job

Project Role : LLM Model Developer
Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary

Own end-to-end NLP & Generative AI solution development from design to production deployment. The role focuses on building scalable, cloud-native LLM-powered applications on Azure, including chatbots, AI assistants, and Retrieval-Augmented Generation (RAG) systems. The position also involves developing backend APIs, managing AI model integrations, deploying enterprise-grade AI solutions, and delivering rapid PoCs and MVPs while supporting team delivery and mentoring junior team members.

Key Responsibilities

- Develop and deploy LLM-powered chatbots, AI assistants, and RAG-based solutions
- Design and manage data ingestion, preprocessing, and document update pipelines
- Implement prompt engineering, embeddings, vector search, and model evaluation techniques
- Build and maintain asynchronous REST APIs using FastAPI and Flask
- Handle rate limiting, retries, fault tolerance, and load balancing for LLM APIs
- Deploy, monitor, and optimize AI applications on Azure Cloud platforms
- Deliver rapid PoCs and MVPs within tight timelines
- Collaborate with cross-functional teams to support project delivery
- Mentor junior developers and contribute to technical best practices

Must-Have Skills

- Advanced proficiency in Python
- Strong experience in NLP and Generative AI technologies (LLMs, RAG, prompt engineering)
- Hands-on expertise with Azure OpenAI and other LLM platforms
- Experience building async APIs using FastAPI or Flask
- Strong understanding of Azure Cloud services:

- Azure App Service
- Azure Storage
- Azure AI Search
- Azure Cosmos DB
- Experience with CI/CD pipelines, logging, and monitoring tools such as Jenkins and OpenTelemetry

Experience Required

- 5+ years of experience in NLP, AI, or Machine Learning
- Proven experience deploying and managing production-grade Generative AI solutions

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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.