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), Machine Learning (ML), Generative AI Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an LLM Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with Large 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 DevOps methodologies. The engineer collaborates with cross-functional teams to enhance the performance and scalability of artificial intelligence solutions, continuously refining and optimizing the software to meet evolving business needs and technical challenges. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to review and improve code quality and application performance. - Assist in troubleshooting and resolving technical issues to maintain system reliability. - Support junior team members by sharing knowledge and providing guidance on project tasks. Professional & Technical Skills: - 7 years of experience - Expertise in solutioning and delivering enterprise GenAI solutions (LLM apps, advanced RAG, multi-agent frameworks). - Hands-on with OpenAI / Azure OpenAI, Agentic SDKs, LangChain - Strong Python engineering FastAPI (or similar Django/Flask). - Build and deploy cloud-native AI on Azure (App Service, Kubernetes, AML, AKS, Key Vault). - CI/CD experience: GitLab. - Good knowledge of SQL (PostgreSQL/MySQL/SQL Server) and ORMs. Nice to have React frontend knowledge Solid MLOps/LLMOps, evaluation frameworks, observability. Ansible - Must To Have Skills: Proficiency in Large Language Models (LLMs). - Experience in developing and integrating APIs for seamless communication between front-end and back-end systems. - Familiarity with DevOps practices to automate deployment and monitoring of AI applications. - Strong understanding of server-side technologies and front-end frameworks to build scalable applications. - Ability to optimize AI models and applications for performance and resource efficiency. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education 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 india.fc.check@accenture.com immediately. 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.