LLM Full Stack Engineer

8114 ASOL - Pune 3 SEZ Company; Pune District; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Accenture is seeking an LLM Full Stack Engineer for its Pune office to design and build applications that integrate with Large Language Models and enterprise services. The role combines front-end and back-end work, focusing on robust APIs, scalable AI solutions, and DevOps-driven deployment.

The candidate should have 6+ years of experience with LLMs, strong React/Next.js skills, and expertise in prompts, tool-calling, and RAG pipelines. Azure AI services and security are key aspects of the role.

Qualifications

• 6+ years of experience with LLMs and GenAI.
• Delivery of LLM/GenAI systems: prompts, tool calls, RAG pipelines, multi-agent orchestration.
• Backend: FastAPI/Django, async, pytest; Frontend: React/Next.js, TS, Redux/RTK/Zustand, Jest/RTL/Cypress.
• DevOps: CI/CD, Docker, Kubernetes, monitoring.
• Strong API design and security (OAuth2/OIDC, JWT, RBAC).

Responsibilities

• Lead design and implementation of scalable AI-driven apps leveraging LLMs.
• Collaborate with multiple teams to align technical solutions with business goals.
• Mentor and guide team members; drive knowledge sharing.
• Coordinate with stakeholders to ensure timely delivery and quality.
• Provide robust APIs and maintain system observability.

Skills

LLMs

React.js

Prompt Engineering

Generative AI

Education

15 years full time education

Tools

Azure AI Studio

Cognitive Search

Key Vault

Purview

Event Hubs

Job description

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), 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.

Professional & 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 profiling.
• Frontend proficiency: React/Next.js, TypeScript, state management (Redux/RTK/Zustand), and component testing (Jest/RTL/Cypress).
• Retrieval: embeddings and indexing, vector DBs, query/rerank strategies, and data governance basics.
• DevOps: CI/CD, Docker, basic Kubernetes (deployments, secrets, config), monitoring (App Insights/Prometheus/Grafana).
• Strong API design, security (OAuth2/OIDC, JWT, RBAC), and observability skills.
• Azure AI/OpenAI experience Azure AI Studio, Cognitive Search, Key Vault, Purview, Event Hubs.
• Experience with LangGraph, AutoGen, CrewAI, Semantic Kernel planners/memory/skills.
• Knowledge of document pipelines (pdf/images/OCR), rerankers, and safety tooling.
• Experience with feature stores / ML inference, or streaming (Kafka/Event Hubs).
• Performance/load testing (Locust/Gatling/JMeter) and cost governance for LLM workloads.

Must To Have Skills

• Proficiency in Large Language Models (LLMs), Generative AI, Prompt Engineering, React.js.
• Strong experience in developing and integrating APIs for AI applications.
• Familiarity with front-end frameworks and server-side technologies to build full stack solutions.
• Understanding of DevOps practices to automate deployment and monitoring of AI systems.
• Ability to optimize AI models and applications for performance and scalability.
• Experience working with cloud platforms and containerization technologies.

Additional Information

• The candidate should have minimum 6 years of experience in Large Language Models (LLMs).
• This position is based at our Pune office.
• A 15 years full time education is required.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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