GenAI Engineer - Senior Associate, AI & Data Consulting

ERNST & YOUNG ADVISORY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EY DnA in Singapore seeks passionate GenAI Engineers to join our growing team. This role combines expertise in artificial intelligence, NLP, machine learning and software engineering to develop and deploy multi-agentic workflows and applications.

You will design and maintain end-to-end AI-powered workflows on cloud platforms, collaborate with cross-functional teams, and translate business requirements into scalable GenAI solutions using Python and DevOps practices.

Qualifications

• Bachelor’s degree in a related field and solid foundation in data science concepts.
• 3+ years of NLP, ML, or Generative AI with LLM experience.
• Proficiency in Python and full-stack software programming.
• Experience with cloud platforms (Azure, AWS, GCP) and APIs.
• Strong problem-solving and collaboration in fast-paced environments.

Responsibilities

• Design, build and deploy intelligent single / multi-agentic apps with GenAI models.
• Develop end-to-end AI workflows integrated with data pipelines on cloud platforms.
• Refine NLP and predictive models to extract insights from data.
• Collaborate with cross-functional teams to translate requirements into scalable GenAI solutions.
• Prototype PoCs, run experiments and ensure code quality for production deployment.

Skills

NLP

Machine Learning

Generative AI

Data Transformation

Scripting

Education

Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics

Tools

Lang Framework

LangChain

LangFlow

LangGraph

LangSmith

LlamaIndex

Docker

Python

Job description

EY DnA in Singapore seeks passionate GenAI Engineers to join our growing team. This role combines expertise in artificial intelligence, NLP, machine learning and software engineering to develop and deploy multi-agentic workflows and applications.

You will design and maintain end-to-end AI-powered workflows on cloud platforms, collaborate with cross-functional teams, and translate business requirements into scalable GenAI solutions using Python and DevOps practices.