Job Description
Project Role : LLM Full Stack EngineerProject 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.
Qualification
15 years full time education
Additional Information
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.
Important Notice
We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at [email protected] immediately.
