LLM Full Stack Engineer

Accenture in India; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Accenture in India is seeking a Large Language Model Full Stack Engineer based in Bengaluru. The role focuses on building and integrating applications with LLMs and enterprise services, balancing front-end and back-end work, and delivering robust APIs with strong deployment practices.

The candidate should have 5+ years of experience with LLMs and Generative AI, plus AWS AI Services expertise. Collaboration across teams and mentoring responsibilities are key aspects of daily work.

Qualifications

• Must have strong experience with Large Language Models (LLMs) and Generative AI.
• Proficient in designing and deploying APIs that interact with AI models and enterprise services.
• Solid AWS AI Services experience and DevOps practices for CI/CD of AI solutions.
• Full-stack knowledge across front-end and back-end tech stacks.

Responsibilities

• Lead design and implementation of scalable AI-driven applications using LLMs.
• Mentor team members and coordinate with multiple teams on key decisions.
• Engage stakeholders to align technical solutions with business goals.
• Provide solutions to problems for the immediate and cross-team groups.
• Collaborate with cross-functional teams to optimize AI solutions and performance.
• Oversee deployment, monitoring, and reliability of AI applications.

Skills

LLMs

Generative AI

AWS AI Services

AI Agents & Workflow Integration

LangGraph

Education

15 years education

Tools

LangGraph

AWS Neptune

APIs development

Job description

Project Role :

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.