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), React.js, Prompt Engineering, 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 services. 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 systems to meet evolving business needs and technological advancements.
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 that leverage Large Language Models.
Facilitate knowledge sharing and mentorship within the team to foster professional growth.
Coordinate with stakeholders to align technical solutions with business objectives.
Qualified & Technical Skills:
Software engineering 6+ years with Python building production services.
Proven delivery of LLM/GenAI systems: prompts, tool/function calling, RAG pipelines, and multi-agent orchestration.
Backend expertise: FastAPI/Django, async programming, testing (pytest), and performance
📌 LLM Full Stack Engineer (Pune)
🏢 Accenture in India
📍 Pune
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