LLM Full Stack Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the Role
Accenture seeks an LLM Full Stack Engineer to design and implement scalable AI-driven applications using Large Language Models and enterprise services. The role involves full-stack development, API creation, and system optimization while mentoring junior team members.
Skills
Large Language Models
Generative AI
AWS AI Services
AI Agents
Workflow Integration
LangGraph
LangSmith
AWS Bedrock
Claude Code
AWS Neptune
Graph DB
API Development
Full Stack Development
DevOps
Scenario Modelling
System Optimization
Full job details
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), AWS AI Services, Generative AI, AI Agents & Workflow Integration, Agentic AI
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with advanced 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 continuous integration and delivery practices. Collaboration with cross-functional teams to enhance artificial intelligence solutions and optimize system performance is a key aspect of daily activities, fostering innovation and efficiency within the technology environment.
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 design and implementation of scalable AI-driven applications using Large Language Models.
- Mentor junior team members to support their professional growth and technical development.
- Coordinate with stakeholders to align technical solutions with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, AWS AI Services, AI Agents & Workflow Integration.
- LangGraph (LangSmith Platform as a plus) experience, experience in building, deploying, debugging and optimizing AI agents
- Scenario modelling (pricing scenarios, market modeling, simulations, evaluations
- GenAI experience (LLM, preferably from AWS bedrock list)
- Claude code experience as a plus
- AWS proficiency is a must
- Graph DB (AWS Neptune) is a plus
- Strong experience in developing and deploying APIs that interact with AI models and enterprise services.
- Knowledge of front-end and back-end technologies to build full stack AI applications.
- Familiarity with DevOps methodologies to automate deployment and monitoring of AI solutions.
- Ability to optimize AI applications for performance, scalability, and reliability.
- Experience in troubleshooting and resolving complex technical issues in AI systems.
Additional Information:
- The candidate should have minimum 5 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 : 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), AWS AI Services, Generative AI, AI Agents & Workflow Integration, Agentic AI
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with advanced 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 continuous integration and delivery practices. Collaboration with cross-functional teams to enhance artificial intelligence solutions and optimize system performance is a key aspect of daily activities, fostering innovation and efficiency within the technology environment.
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 design and implementation of scalable AI-driven applications using Large Language Models.
- Mentor junior team members to support their professional growth and technical development.
- Coordinate with stakeholders to align technical solutions with business objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, AWS AI Services, AI Agents & Workflow Integration.
- LangGraph (LangSmith Platform as a plus) experience, experience in building, deploying, debugging and optimizing AI agents
- Scenario modelling (pricing scenarios, market modeling, simulations, evaluations
- GenAI experience (LLM, preferably from AWS bedrock list)
- Claude code experience as a plus
- AWS proficiency is a must
- Graph DB (AWS Neptune) is a plus
- Strong experience in developing and deploying APIs that interact with AI models and enterprise services.
- Knowledge of front-end and back-end technologies to build full stack AI applications.
- Familiarity with DevOps methodologies to automate deployment and monitoring of AI solutions.
- Ability to optimize AI applications for performance, scalability, and reliability.
- Experience in troubleshooting and resolving complex technical issues in AI systems.
Additional Information:
- The candidate should have minimum 5 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.