AI Full-Stack Engineer: Build Next‑Gen LLM Apps

7600 Accenture Pte Ltd Company; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Accenture is seeking an AI Full Stack Engineer to design, build, deploy, and maintain AI-powered applications end‑to‑end across the full tech stack, from UI to back-end and machine learning models. You will lead the development of AI systems powered by LLMs, with a focus on robustness, safety, and performance.

The role requires strong expertise in AI architectures, prompt engineering, and deployment experience in production environments.

Qualifications

• Minimum 4 years designing & building resilient AI systems with guardrails & CI/CD.
• Experience in designing AI solutions using RAG patterns & data pipelines.
• Proficient in Python/JS and one or more AI frameworks.
• Experience with at least one public cloud (AWS/GCP/Azure).
• Strong knowledge of prompt engineering, model tuning, and performance optimizations.

Responsibilities

• Design, develop, and optimize AI prompts and AI-driven applications across full stack.
• Architect generative agent systems and multi-model coordination frameworks.
• Lead end-to-end AI lifecycle from research to production deployment.
• Evaluate architectures for safety, fairness, and reduced hallucinations.
• Collaborate with cross‑functional teams to align AI with business goals.
• Participate in code reviews and uphold engineering standards.

Skills

AI prompts

LLMs

Python

JavaScript

Cloud services

CI/CD

Retrieval augmentation

Team leadership

Education

Bachelor's degree

Tools

LangChain

OpenAI API

Semantic Kernel

Autogen

LangGraph

Job description

Accenture is seeking an AI Full Stack Engineer to design, build, deploy, and maintain AI-powered applications end‑to‑end across the full tech stack, from UI to back-end and machine learning models. You will lead the development of AI systems powered by LLMs, with a focus on robustness, safety, and performance.

The role requires strong expertise in AI architectures, prompt engineering, and deployment experience in production environments.