GenAI Process Automation Engineer POC And API Workflows

Shopee; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Shopee is seeking a Process Automation Engineer in Manila to scope and build POC automations using LLM and generative AI. You will partner with stakeholders to define MVPs, test plans, and success criteria, delivering rapid proofs that integrate across multiple web applications and data sources.

You will develop data workflows, scripts, and API-driven integrations, ensuring quality checks and clear handover documentation for potential productionization.

Qualifications

• Bachelor’s Degree in Computer Science, Data Science, Statistics, or related field.
• Nice to have: Certification in Data Analytics, Machine Learning, or similar.
• 2+ years building prototypes/automations/workflows using scripting and data.
• Proven experience delivering scripts and data workflows from diverse data sources.
• Some experience with large language models (LLMs) or AI technologies.
• Strong communication and collaboration skills to work with cross-functional teams.
• Proficiency in SQL, Python, and data workflow automation tools.
• Solid understanding or willingness to learn about LLMs and their analytics applications.
• Excellent analytical, problem-solving, and critical thinking skills.

Responsibilities

• Scope and prioritize automation use cases; define MVPs and feasibility studies.
• Translate ambiguous problems into clear POC requirements, success criteria, and test plans.
• Build rapid POCs leveraging LLM/generative AI to automate or augment business processes.
• Develop lightweight automation scripts/workflows integrating across multiple web apps and tools (APIs and scripted interactions).
• Develop, maintain, and optimize data workflows from diverse data sources.
• Use SQL and scripting to extract, transform, and validate data for POC execution.
• Perform quality checks to ensure results support validation decisions.
• Document POC approach, assumptions, limitations, and handover notes for downstream teams.

Skills

SQL

Python

LLMs

Data workflows

APIs

Education

Bachelor's degree in CS/DS/Statistics

Tools

APIs

Python scripting

SQL tooling

Job description

Job Description

About The Team

The Process Automation Engineer is responsible for scoping, prioritizing, and building proof-of-concept (POC) process automations using LLM and generative AI technologies. This role partners closely with stakeholders to evaluate feasibility and expected impact, push back when requests are not viable, and rapidly prototype solutions that integrate across multiple web applications and data sources. Outputs are intended for validation and handover, not long-term production ownership.

Job Description

• Exercise strong business judgment in scoping and prioritizing automation use cases—challenge assumptions, define clear MVPs, and build feasibility studies.
• Partner with stakeholders to translate ambiguous problems into clear POC requirements, success criteria, and test plans.
• Build rapid POCs that leverage LLM/generative AI capabilities to automate or augment business processes.
• Develop and iterate lightweight automation scripts/workflows that integrate across multiple web applications and tools (primarily via APIs and scripted interactions).
• Develop, maintain, and optimize data workflows sourced from existing, often poorly documented data marts and operational data sources.
• Use SQL and scripting (e.g., Python) to extract, transform, and validate data needed for POCs and workflow execution.
• Conduct quality checks on data and POC outputs to ensure results are directionally correct for validation decisions.
• Document POC approach, assumptions, limitations, and handover notes to enable downstream engineering/product teams to productionize if needed.

Requirements

• Bachelor’s Degree in Computer Science, Data Science, Statistics, or related field.
• Nice to have: Certification in Data Analytics, Machine Learning, or similar
• 2+ years in roles involving building prototypes/automations/workflows using scripting and data (not limited to BI).
• Proven experience in delivering scripts and/or data workflows from various data sources to drive business outcomes.
• Some experience working with large language models (LLMs) or AI technologies.
• Strong communication and collaboration skills to effectively interact with cross-functional teams.
• Strong proficiency in SQL, Python, and data workflow automation tools.
• Solid understanding (or willing to learn) of large language models (LLMs) and their applications in data analytics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to manage multiple tasks concurrently and prioritize effectively.