Senior GenAI Engineer: NLP, LLMs & AI Workflows

ernst & young advisory pte. ltd.; Singapore; Presencial; SGD 120.000 - 180.000; Tempo integral

Benefícios oferecidos por esta vaga

Continuous learning

Flexible working

Inclusive culture

Global exposure

Resumo da vaga

EY DnA in Asia-Pacific seeks passionate GenAI Engineers to design, build and deploy AI-enabled workflows using NLP, ML and LLMs. You’ll translate business needs into scalable, end-to-end GenAI solutions on cloud platforms.

You’ll work with data engineers and software developers across teams, apply DevOps practices, and write production-quality Python, with Docker, APIs and CI/CD. The role emphasizes learning, collaboration and delivering value to clients.

Qualificações

• Bachelor’s degree in a technical field or equivalent
• Experience with NLP, ML and Generative AI, especially LLMs
• Proficiency in Python and full-stack development
• Strong knowledge of data science algorithms and modeling

Responsabilidades

• Design, build and deploy intelligent GenAI workflows leveraging LLMs and NLP
• Collaborate with data engineers and software developers across teams
• Develop end-to-end AI solutions on cloud platforms (Azure, AWS, GCP)
• Implement robust software engineering practices and maintainability
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks
• Translate business requirements into scalable GenAI solutions

Conhecimentos

NLP

Machine Learning

Generative AI

Data Transformation

Scripting

Communication

Stakeholder management

Formação

Bachelor’s degree in Computer Science / related field

Ferramentas

Python

Docker

Cloud platforms (Azure, AWS, GCP)

APIs

CI/CD

Descrição da vaga

EY DnA in Asia-Pacific seeks passionate GenAI Engineers to design, build and deploy AI-enabled workflows using NLP, ML and LLMs. You’ll translate business needs into scalable, end-to-end GenAI solutions on cloud platforms.

You’ll work with data engineers and software developers across teams, apply DevOps practices, and write production-quality Python, with Docker, APIs and CI/CD. The role emphasizes learning, collaboration and delivering value to clients.