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Open nowPosted 17 days ago

Senior Engineer, AI Solutions

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 10,000 a month
Where
West, Singapore
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Your applicationOpen nowSenior Engineer, AI SolutionsMyCareersFuture · West, Singapore
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Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 17 days ago

The posting

Position Overview

We are seeking a Senior Engineer, AI Solutions to build and deliver production-ready AI solutions for manufacturing and business teams. You will own solutions end-to-end—from requirements and model selection to development, deployment, and continuous improvement—across yield improvement, test efficiency, real-time production monitoring, workflow automation, and supply chain visibility.

Job Responsibilities

  • Drive end-to-end delivery of AI solutions, from user requirements through production deployment and adoption.
  • Build dashboards and applications for live shipment and test output, real-time tester and equipment monitoring with alerting, and supply chain visibility.
  • Develop statistical and ML solutions to identify and prioritize yield, test, cost, and operational improvement opportunities.
  • Select, evaluate, and fine-tune ML/LLM models based on available data, business impact, and cost of errors.
  • Build agentic workflows and evaluation frameworks for reporting, data consolidation, natural-language querying, and document processing.
  • Design human-review and fallback mechanisms for AI-driven decisions, keeping critical workflows deterministic and auditable.
  • Monitor, evaluate, and continuously improve deployed AI solutions with measurable business outcomes.

Requirements

  • 4+ years of professional experience delivering software or data solutions into production with end-to-end ownership.
  • Strong Python and SQL skills, with experience building dashboards or web applications using FastAPI, Streamlit, Plotly Dash, Grafana, or Metabase.
  • Applied ML experience in data science/statistics, computer vision, or LLM applications, including model selection, evaluation, and fine-tuning.
  • Hands-on LLM experience, including tool use, retrieval, agentic workflows, and model-output evaluation.
  • Daily use of AI-assisted development tools such as Claude Code, Codex, or Cursor, with production software successfully shipped using these tools; Bachelor's/Master's degree in a relevant technical field.
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