Senior Engineer, AI Solutions

Poet Technologies Pte Ltd; Santo Niño 1st; On-site; PHP 1,500,000 - 2,100,000; Full time

Job summary

Poet Technologies Pte Ltd in the Philippines is seeking a Senior Engineer, AI Solutions to deliver production-ready AI systems for manufacturing and business teams. You will own the end-to-end lifecycle from requirements and model selection to deployment and continuous improvement.

You will build dashboards and applications for real-time shipment, test outputs, and supply chain visibility, and you will design auditable AI workflows with human review and fallback mechanisms to ensure

Qualifications

• 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.

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.

Skills

Python

SQL

ML/LLM

End-to-end delivery

Data dashboards

FastAPI

Streamlit

Plotly Dash

Grafana

Metabase

Claude Code

Codex

Cursor

Education

Bachelor's/Master's in a technical field

Tools

FastAPI

Streamlit

Plotly Dash

Grafana

Metabase

Claude Code

Codex

Cursor

Job description

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.