LLM Model Developer
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LLM Model Developer
Location
Pune
Experience
Senior
Posted
Jul 22, 2026
Apply by
August 21, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
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 : Machine Learning (ML)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Developer, a typical day involves refining and adapting advanced language models to better align with specific instructions and domain requirements. This role focuses on enhancing the model's ability to understand and generate contextually relevant outputs by carefully adjusting parameters and training data. Collaboration with various teams to integrate improvements and ensure the model meets performance expectations is a key part of daily activities. Continuous evaluation and iteration are essential to maintain the model's effectiveness across diverse applications and use cases.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and implementation of strategies to optimize model fine-tuning processes.
- Facilitate knowledge sharing and skill development within the team to foster continuous improvement.
- Monitor project progress and ensure alignment with organizational goals and timelines.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Java and Python.
- Good To Have Skills: Experience with Machine Learning (ML).
- Experience in AI application development, focusing on cloud-based AI model integration, deployment, and optimization.
- Proficiency in programming languages such as Python, Java, and experience with AI/ML frameworks like Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow etc.
- Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search for developing and deploying AI applications at scale.
- Proficiency in advanced AI architecture patterns, including Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, A2A especially in an Azure environment.
- Experience in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration.
- Experience in evaluating model output and optimization
- Strong understanding of natural language processing techniques and model architectures.
- Experience in fine-tuning models for specific domains and instruction-based tasks.
- Ability to analyze model performance metrics and implement improvements.
- Familiarity with data preprocessing and augmentation methods to enhance training datasets.
Additional Information:
- The candidate should have minimum 5 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](http://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.
Key Responsibilities
- Fine-tune Large Language Models with emphasis on instruction fine-tuning and domain adaptation.
- Lead the development and implementation of strategies to optimize model fine-tuning processes.
- Collaborate with multiple teams to contribute to key decisions and provide solutions.
- Facilitate knowledge sharing and skill development within the team.
- Monitor project progress and ensure alignment with organizational goals and timelines.
- Analyze model performance metrics and implement improvements.
Requirements
- 15 years full time education
Skills Required
Large Language Models (LLMs)JavaPythonLeadershipCollaborationProblem solvingCommunicationMachine Learning (ML)AI application developmentCloud-based AI model integrationSpring AILangChainLangGraphLlamaIndexAgnoPydanticTensorFlowAzure OpenAIAzure AI SearchRetrieval-Augmented Generation (RAG)Agentic RAGMCPFunctional CallingA2APrompt engineeringContext engineeringVector databasesEmbedding/chunking strategiesReal-time data integrationData preprocessingData augmentation
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