Full Stack LLM Developer
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.
About the Role
As a Full Stack LLM Developer, you will design and build end-to-end applications powered by Large Language Models (LLMs) to solve complex business problems. You will work across the full stack — from front-end experiences to back-end services and LLM orchestration — delivering secure, scalable, and production-grade AI solutions for enterprise clients.
Key Responsibilities
Design and develop full stack applications that integrate LLMs into user-facing workflows and business processes
Implement back-end services and APIs for prompt orchestration, retrieval-augmented generation (RAG), and tool / API calling
Build responsive, intuitive front-end interfaces that enable users to interact with LLM-powered features effectively
Integrate with enterprise data sources, vector stores, and authentication/authorization mechanisms
Collaborate with architects, data engineers, and product owners to translate business requirements into technical designs
Implement observability, logging, and monitoring for LLM interactions and application performance
Apply secure coding practices and contribute to guardrails for responsible AI usage
Participate in code reviews, technical design discussions, and continuous improvement of engineering practices
Required Qualifications
Experience in full stack application development
Strong proficiency in at least one back-end language/framework (e.g., Node.js, Python, Java, .NET)
Experience with modern front-end frameworks (e.g., React, Angular, or Vue)
Hands-on experience integrating with LLMs (e.g., Azure OpenAI, OpenAI, other enterprise LLM platforms)
Solid understanding of RESTful APIs, microservices, and event-driven or serverless architectures
Experience working with relational and/or NoSQL databases, and basic understanding of vector databases [Assumed]
Familiarity with cloud platforms (Azure, AWS, or GCP) and CI/CD pipelines
Strong problem-solving skills and ability to work in cross-functional, agile teams
Preferred Qualifications
Experience building retrieval-augmented generation (RAG) pipelines or LLM chat/workflow applications
Exposure to LLMOps concepts (prompt management, versioning, evaluation, and safety guardrails)
Knowledge of authentication/authorization standards (OAuth2, OpenID Connect) and enterprise security practices
Experience in regulated industries (e.g., banking, financial services, or compliance) [Assumed]
Familiarity with containerization and orchestration (Docker, Kubernetes)
About the Company / Team
You will join Accenture’s AI and Intelligent Platforms teams, working alongside architects, data engineers, and domain experts to build next-generation AI applications. The team focuses on practical, production-grade LLM solutions that deliver measurable business outcomes, while fostering a culture of experimentation, learning, and collaboration.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
Singapore
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