Senior Engineer, AI & Data Platform

POET TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

POET TECHNOLOGIES PTE. LTD. seeks a Senior AI & Data Platform Engineer to own and operate the data and AI foundation driving transformation initiatives.

You’ll manage the manufacturing data platform, AI infrastructure, and agentic workflows from architecture through deployment, monitoring, and continuous improvement. You will collaborate with manufacturing, engineering, and planning teams to turn real-world challenges into scalable software and AI solutions, ensuring deterministic, auditable

Qualifications

• 4+ years of software engineering experience with strong Python skills.
• Strong SQL, database, ETL, and data pipeline experience (PostgreSQL/MySQL).
• Production infrastructure experience with Linux, Docker, CI/CD, and AWS/Azure/GCP.
• Backend and AI/ML infrastructure experience with FastAPI/Flask/Django and related tools.
• Hands-on experience deploying AI/ML and LLM solutions with agentic workflows and AI-assisted development tools.

Responsibilities

• Build and operate AI/ML infrastructure, including data pipelines, model training, LLM serving, retrieval systems, agent runtimes, evaluation, and monitoring.
• Own production infrastructure across factory and cloud environments (Linux, Docker, GPUs, CI/CD, networking, IaC).
• Develop scalable manufacturing data platforms and ingestion pipelines integrating tester, equipment, vendor, and reporting data.
• Build backend services, APIs, applications, and automation using Python and modern web tech.
• Deploy and operate AI/LLM solutions, including agentic workflows for manufacturing reporting, log analysis, and natural-language data querying.
• Establish robust engineering practices across testing, monitoring, version control, documentation, and continuous deployment.
• Collaborate with vendors and internal teams to translate manufacturing needs into solutions that improve yield, efficiency, cost, and operations.

Skills

Python programming

SQL

ETL

Data pipelines

CI/CD

Tools

Linux

Docker

CI/CD

AWS

Azure

GCP

FastAPI

Flask

Django

vLLM

MLflow

LangGraph

MCP

Claude Code

Codex

Cursor

Job description

Position Overview

We are seeking a Senior AI & Data Platform Engineer to build and operate the technical foundation for our Data & AI Transformation initiatives, owning the manufacturing data platform, infrastructure, equipment data integration, AI infrastructure, MLOps, and agentic systems that improve testing, yield, and cost. This hands-on, end-to-end role works closely with engineering, manufacturing, and planning teams to turn real-world challenges into reliable, production-ready software and AI solutions, from architecture and development through deployment, monitoring, and continuous improvement, while ensuring critical manufacturing decisions remain deterministic, auditable, and scalable.

Job Responsibilities

• Build and operate AI/ML infrastructure, including data pipelines, model training, LLM serving, retrieval systems, agent runtimes, evaluation, and monitoring.
• Own production infrastructure across factory and cloud environments, including Linux, Docker, GPUs, CI/CD, networking, and infrastructure-as-code.
• Develop scalable manufacturing data platforms and ingestion pipelines integrating tester, equipment, vendor, and reporting data.
• Build backend services, APIs, applications, and automation using Python and modern web technologies.
• Deploy and operate AI/LLM solutions, including agentic workflows for manufacturing reporting, log analysis, and natural-language data querying.
• Establish robust engineering practices across testing, monitoring, version control, documentation, and continuous deployment.
• Collaborate with vendors and internal teams to integrate systems and translate manufacturing needs into solutions that improve yield, efficiency, cost, and operations.

Requirements

• 4+ years of software engineering experience, with strong Python skills.
• Strong SQL, database, ETL, and data pipeline experience, including PostgreSQL or MySQL.
• Production infrastructure experience with Linux, Docker, CI/CD, and AWS, Azure, or GCP.
• Backend and AI/ML infrastructure experience with technologies such as FastAPI, Flask, Django, vLLM, MLflow, LangGraph, or MCP.
• Hands-on experience deploying AI/ML and LLM solutions, including agentic workflows, with proven use of AI-assisted development tools such as Claude Code, Codex, or Cursor to deliver production software