LLM Model Developer
Bengaluru Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Accenture. Bengaluru · full-time.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 26, 2026 · 6d ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Fine-tune language models with instruction-based methods and domain adaptation to improve relevance in specific contexts
- Develop approaches that make model fine-tuning more effective, then guide their rollout
- Work across teams on model decisions and solve performance problems that affect multiple groups
- Review code and help junior colleagues build their skills through mentoring and knowledge sharing
What you bring
- At least fifteen years working with large language models, plus fifteen years of full-time education
- Advanced Python skills and proficiency with LLMs, GitHub, Docker, AWS AI services, LangGraph or LangChain, and Langfuse
- Experience with microservices, Terraform, CI/CD, REST APIs, Jira and code review
Who this fits
This role suits a deeply experienced LLM developer who can advise teams, influence decisions and mentor junior colleagues. 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 : Large Language Models (LLMs), GitHub, Docker (Software), AWS AI Services, LangGraph;LangChain,Langfuse;G, Python Framework;Microservices
Good to have skills : NA
Minimum 15 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 suit specific domains and instructions. This role requires continuous engagement with evolving model architectures and datasets to improve the accuracy and contextual relevance of the models. Collaboration with various teams to align model outputs with project goals and to address challenges in model performance is a key aspect of daily activities. The position demands a proactive approach to experimenting with model fine-tuning techniques and integrating feedback to ensure the models meet the desired standards in diverse applications.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of innovative strategies to optimize model fine-tuning processes.
- Mentor and guide junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), GitHub, Docker (Software), AWS AI Services Python Framework (Advanced) , LangGraph/LangChain, Langfuse,Microservices Architecture, Terraform, CI/CD, REST API, GitHub/Jira, Code Review.
- Strong expertise in deploying and managing cloud-native AI services to ensure high availability and scalability.
- Strong expertise in model fine-tuning techniques, including instruction fine-tuning and domain adaptation.
- Experience with cloud-based AI service platforms to deploy and manage language models effectively.
- Familiarity with containerization and version control tools to streamline development workflows.
- Ability to analyze and interpret large datasets to enhance model training and evaluation.
- Skilled in collaborating across multidisciplinary teams to integrate AI solutions into broader systems.
Additional Information:
- The candidate should have minimum 15 years of experience in Large Language Models (LLMs).
- 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 : Large Language Models (LLMs), GitHub, Docker (Software), AWS AI Services, LangGraph;LangChain,Langfuse;G, Python Framework;Microservices
Good to have skills : NA
Minimum 15 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 suit specific domains and instructions. This role requires continuous engagement with evolving model architectures and datasets to improve the accuracy and contextual relevance of the models. Collaboration with various teams to align model outputs with project goals and to address challenges in model performance is a key aspect of daily activities. The position demands a proactive approach to experimenting with model fine-tuning techniques and integrating feedback to ensure the models meet the desired standards in diverse applications.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of innovative strategies to optimize model fine-tuning processes.
- Mentor and guide junior team members to foster skill development and knowledge sharing.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), GitHub, Docker (Software), AWS AI Services Python Framework (Advanced) , LangGraph/LangChain, Langfuse,Microservices Architecture, Terraform, CI/CD, REST API, GitHub/Jira, Code Review.
- Strong expertise in deploying and managing cloud-native AI services to ensure high availability and scalability.
- Strong expertise in model fine-tuning techniques, including instruction fine-tuning and domain adaptation.
- Experience with cloud-based AI service platforms to deploy and manage language models effectively.
- Familiarity with containerization and version control tools to streamline development workflows.
- Ability to analyze and interpret large datasets to enhance model training and evaluation.
- Skilled in collaborating across multidisciplinary teams to integrate AI solutions into broader systems.
Additional Information:
- The candidate should have minimum 15 years of experience in Large Language Models (LLMs).
- 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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