LLM Full Stack Engineer

LLM Full Stack Engineer

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.