The Role
Design and build scalable full-stack applications integrating LLMs, generative AI, and enterprise services. Develop Python APIs and React-based front ends, implement RAG and multi-agent systems, and apply DevOps practices for deployment, monitoring, security, and observability. Lead technical decisions, optimize performance and cost, collaborate with stakeholders, and mentor team members. The role requires expertise in cloud-based AI services, containerization, API design, testing, and production LLM system delivery.
Summary Generated by Built In
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.
15 years full time education
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.
15 years full time education
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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- At least 5 years of professional experience
- At least 6 years of software engineering experience using Python to build production services
- At least 6 years of experience with Large Language Models
- 15 years of full-time education
- Proficiency in Large Language Models, Generative AI, and Prompt Engineering
- Proficiency with React.js and full-stack application development
- Experience delivering LLM and GenAI systems, including prompts, tool or function calling, RAG pipelines, and multi-agent orchestration
- Strong experience developing and integrating APIs for AI applications
- Backend experience with FastAPI or Django, asynchronous programming, testing, and performance profiling
- Frontend experience with React or Next.js, TypeScript, state management, and component testing
- Experience with embeddings, indexing, vector databases, query and rerank strategies, and data governance
- Understanding of DevOps practices, CI/CD, Docker, Kubernetes, monitoring, and automated deployment
- Strong API design, application security, OAuth2/OIDC, JWT, RBAC, and observability skills
- Experience with Azure AI, Azure OpenAI, Azure AI Studio, Cognitive Search, Key Vault, Purview, or Event Hubs
- Experience with LangGraph, AutoGen, CrewAI, or Semantic Kernel
- Knowledge of document processing pipelines, PDF and image processing, OCR, rerankers, and AI safety tooling
- Experience with feature stores, ML inference, or streaming technologies such as Kafka or Event Hubs
- Experience with performance and load testing tools such as Locust, Gatling, or JMeter
- Ability to optimize AI applications for performance and scalability
- Experience working with cloud platforms and containerization technologies
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
-
Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
-
Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
-
Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
