Full-timeTech & engineering· Posted 3 Aug

Advanced AI Full Stack Engineer

AccentureFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

Join a global professional services team building AI-powered applications end to end, from user interfaces through backend logic to machine learning models. You will work across the full AI lifecycle with foundation models and large language models, and the role suits an engineer who is equally comfortable with AI frameworks and software architecture.

What you'll do

Design, develop and optimise AI prompts and AI applications built on foundation models and large language models
Architect and implement generative agent systems using multi-model coordination frameworks
Develop application and component strategies covering user experience and backend systems
Define, evaluate and optimise AI system architectures using frameworks such as OpenAI and LangChain

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Conduct code reviews, advise on improvements and issue resolution, and uphold engineering standards

Build and maintain scalable machine learning infrastructure, including distributed training pipelines and API integration

Apply evaluation methods to keep models robust, safe and fair, and to reduce hallucination risk

Work with business leaders, engineers, architects and designers to align AI systems with business goals

Support troubleshooting during testing and in production environments

Document technical architecture, methodologies and innovations for knowledge transfer

Good to know

Travel may be required, ranging from 0 to 100% depending on business and client needs

Requirements

At least 4 years designing and building resilient AI systems or products, with controls, guardrails, context engineering, evals, CI/CD, tracing, logging and unit testing in production
At least 4 years designing AI solutions using patterns such as retrieval augmentation generation and handling data pipelines
At least 4 years in engineering teams using one or more languages and frameworks such as Python, JavaScript, Java, Spring or GoLang, plus mastery of an AI framework like Autogen, LangGraph or Semantic Kernel
At least 4 years working with application services on a public cloud such as AWS, GCP or Azure, including AI and GenAI services
At least 3 years in AI engineering building applications or products, with fine tuning, prompt engineering, token utilisation and latency optimisation
At least 2 years leading a team or in team management, preferably on AI-driven projects

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Accenture

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Advanced AI Full Stack Engineer

About the role

What you'll do

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Requirements

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