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
Positive 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
📌 LLM Full Stack Engineer (Pune)
🏢 Accenture in India
📍 Pune
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