Back to search
Accenture Southeast Asia Linkedin · Posted 21d ago

LLM Full Stack Engineer Associate Director

Singapore, Central Singapore, Singapore

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

About The Role

Join Accenture’s AI & Data team to build and integrate production-grade applications powered by Large Language Models (LLMs) and enterprise services. In this role, you’ll shape end-to-end solutions—from user experience to APIs and platform operations—helping clients accelerate innovation, improve performance, and scale AI responsibly across the business.

Key Responsibilities

  • Design, develop, and integrate full stack applications that leverage LLMs and AI agent frameworks
  • Build and maintain secure, scalable APIs and backend services that connect AI capabilities with enterprise systems
  • Collaborate with cross-functional stakeholders (product, data, engineering, security, and operations) to deliver high-impact solutions
  • Implement DevOps practices to automate deployment, monitoring, and reliability for AI-enabled applications
  • Conduct thorough testing, debugging, and performance tuning to ensure robust, efficient releases
  • Provide technical leadership and advisory input across multiple teams; drive decisions and reusable patterns where applicable
  • Stay current with advances in LLMs, tooling, and software engineering to continuously improve delivery practices
  • Mentor junior engineers and contribute to a culture of knowledge sharing and continuous learning

    • Required Qualifications

  • Master proficiency in Large Language Models, including application integration patterns and optimization considerations
  • Expert proficiency in Digital Full Stack Development (front-end and server-side)
  • Advanced proficiency in DevOps practices (CI/CD, observability, environment automation, release management)
  • Advanced proficiency in Node.js-based front-end development and modern JavaScript/TypeScript practices
  • Experience building AI-enabled applications using agentic patterns and integrating with enterprise services
  • Strong stakeholder management skills with the ability to influence and communicate across technical/non-technical audiences
  • Bachelor’s Degree in a relevant field (Computer Science, Engineering, or similar)

    • Preferred Qualifications

  • Experience with AI orchestration frameworks, prompt/response evaluation, and safety-by-design implementation
  • Familiarity with containerized deployments and cloud-native application architecture
  • Exposure to performance engineering for AI workloads and API scalability patterns

    • Free. 20 seconds. No password. See every match in this search.

    Create a free Caio profile to unlock the full index and keep your job-search signal for future recommendations.

    Unlock free search