AI & Automation Innovator for High-Impact Projects

Hammerjack Pty Ltd; Philippines; On-site; PHP 900,000 - 1,700,000; Full time

Job summary

Hammerjack Pty Ltd in the Philippines is seeking an experienced AI and automation engineer to identify and deliver high-impact AI, data, and automation projects across commercial and operations teams.

You will translate business problems into technical requirements, prototype solutions with Python and SQL, build data products, and collaborate with data, product, BI, and engineering teams to scale successful initiatives and measure ROI.

Qualifications

• 3–6 years of experience in ML/DS, AI or data engineering, software/full-stack engineering.
• Experience building applications, data pipelines, APIs, automation workflows or ML/AI solutions.
• Familiarity with LLMs, generative AI, agentic workflows, RAG, APIs, or AI application development.

Responsibilities

• Identify high-impact AI, automation, and productivity opportunities across commercial and operations teams.
• Translate business problems into technical solutions, system requirements, and implementation plans.
• Build and prototype AI applications, automation workflows, data products, and internal tools.
• Develop solutions using LLMs, APIs, Python, SQL, workflow automation, and modern AI development tools.
• Work with data, product, BI, and engineering teams to integrate and scale successful solutions.
• Analyze operational data and quantify business impact, productivity gains, and ROI.
• Run pilots, iterate based on user feedback, and drive adoption across business teams.
• Support strategic projects requiring structured analysis and rapid execution.

Skills

Python

SQL

LLMs

AI/Automation

Data Engineering

Prototyping

Tools

Git

Docker

n8n

Google Apps Script

Job description

Hammerjack Pty Ltd in the Philippines is seeking an experienced AI and automation engineer to identify and deliver high-impact AI, data, and automation projects across commercial and operations teams.

You will translate business problems into technical requirements, prototype solutions with Python and SQL, build data products, and collaborate with data, product, BI, and engineering teams to scale successful initiatives and measure ROI.