Generative AI Engineer — Build & Deploy LLM Solutions

M1 Limited

Singapore

On-site

SGD 90,000 - 140,000

Full time

3 days ago
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Job summary

M1 Limited in Singapore is seeking an AI Engineer to design, develop, and deploy reliable AI-powered applications and intelligent workflows, focusing on LLM and generative AI solutions. You will partner with business users, product, engineering, and data teams to translate requirements into practical AI systems, evaluate performance, and support deployments through ongoing maintenance.

Responsibilities include building AI applications, data pipelines, and agent workflows, ensuring data quality,

Qualifications

  • University degree or equivalent in CS/AI/Data Science/Engineering.
  • At least 2 years of relevant AI/engineering experience.
  • Strong proficiency in Python and SQL with API/JSON experience.

Responsibilities

  • Build AI applications: develop Python services, APIs, and workflows using model APIs, embeddings, and tool calling.
  • Develop agent workflows and harnesses: implement tool schemas, execution steps, state handling, retries, and logging.
  • Evaluate and debug: create test datasets, analyse traces, and document limitations and regressions.
  • Build the data foundations: write SQL and data-processing code to ingest, clean, and transform data.
  • Use AI coding tools responsibly: review AI-generated code and run meaningful tests.
  • Ship and support software: contribute code through Git and support deployment, monitoring, and maintenance.

Skills

Python
SQL
APIs/JSON
Debugging
Automated testing
Problem solving

Education

Bachelor's degree in Computer Science, AI, Data Science, Engineering

Tools

Git
Cloud platforms
MLOps
Retrieval augmented generation

Job description

M1 Limited in Singapore is seeking an AI Engineer to design, develop, and deploy reliable AI-powered applications and intelligent workflows, focusing on LLM and generative AI solutions. You will partner with business users, product, engineering, and data teams to translate requirements into practical AI systems, evaluate performance, and support deployments through ongoing maintenance.

Responsibilities include building AI applications, data pipelines, and agent workflows, ensuring data quality,

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