LLM Model Developer
Hyderabad Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Accenture. Hyderabad · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationHyderabad
EmploymentFull-time
PostedOct 27, 2026 · 5d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and apply fine-tuning approaches that improve how language models perform
- Review model outputs and adjust training methods to improve instruction-following and domain relevance
- Prepare large datasets for model training, then assess results using evaluation measures
- Connect AI models to APIs and troubleshoot or tune them in production
- Guide team decisions, share expertise, and coordinate model work across teams
What you bring
- At least seven and a half years of Generative AI experience
- Working knowledge of Generative AI, LLMs, Python frameworks, API management, agentic AI and prompt engineering
- Hands-on experience with instruction tuning and adapting language models to specific domains
- You have completed fifteen years of full-time education
Who this fits
This role suits an experienced LLM developer who can lead technical decisions, mentor teammates and work across teams. The position is based at the Bengaluru office.
From the employer
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 : Generative AI, API Management, Large Language Models (LLMs), Python Frameworks, Agentic AI, Prompt Engineering
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an LLM Model Developer, a typical day involves refining and adapting large language models to better suit specific domains and use cases. This role focuses on enhancing the model's ability to follow instructions accurately and improving its contextual understanding. The workday includes analyzing model outputs, iterating on fine-tuning strategies, and collaborating with various teams to ensure the models meet the desired performance standards. Continuous evaluation and adjustment are key to maintaining the relevance and effectiveness of the language models in diverse applications.
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 fine-tuning methodologies to optimize model performance.
- Facilitate knowledge sharing and mentorship within the team to foster skill development and innovation.
- Coordinate cross-functional efforts to align model capabilities with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Large Language Models (LLMs), Python Frameworks, API Management, Agentic AI, Prompt Engineering.
- Strong experience in designing and executing instruction fine-tuning and domain adaptation techniques for language models.
- Ability to work with large-scale datasets and perform data preprocessing to support model training.
- Familiarity with model evaluation metrics and techniques to assess and improve model accuracy and relevance.
- Experience in integrating AI models with application programming interfaces to enable seamless deployment.
- Capability to troubleshoot and optimize model performance in production environments.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Generative AI.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
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 : Generative AI, API Management, Large Language Models (LLMs), Python Frameworks, Agentic AI, Prompt Engineering
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an LLM Model Developer, a typical day involves refining and adapting large language models to better suit specific domains and use cases. This role focuses on enhancing the model's ability to follow instructions accurately and improving its contextual understanding. The workday includes analyzing model outputs, iterating on fine-tuning strategies, and collaborating with various teams to ensure the models meet the desired performance standards. Continuous evaluation and adjustment are key to maintaining the relevance and effectiveness of the language models in diverse applications.
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 fine-tuning methodologies to optimize model performance.
- Facilitate knowledge sharing and mentorship within the team to foster skill development and innovation.
- Coordinate cross-functional efforts to align model capabilities with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Large Language Models (LLMs), Python Frameworks, API Management, Agentic AI, Prompt Engineering.
- Strong experience in designing and executing instruction fine-tuning and domain adaptation techniques for language models.
- Ability to work with large-scale datasets and perform data preprocessing to support model training.
- Familiarity with model evaluation metrics and techniques to assess and improve model accuracy and relevance.
- Experience in integrating AI models with application programming interfaces to enable seamless deployment.
- Capability to troubleshoot and optimize model performance in production environments.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Generative AI.
- 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.
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