Pez.AI currently has positions open in our Manila, Philippines office.

Software Engineer

Design and implement Internet-scale microservices for our AI platform. We are looking for team players that can take our platform to the next level. If you want to work in a fast-paced environment with equal parts independence, personal growth, and mentoring, get in touch!

Seniority Level: 3+ years server-side or systems engineering

Employment Type: Full-time

Location: Manila, Philippines

Job Function: Information Technology



  • Design and implement scalable, cloud-based microservice architectures
  • Design and implement data models
  • Define coding conventions, enforce code quality
  • Collaborate with product management to guide product direction w.r.t. technical needs/feasibility
  • Collaborate with product management and QA to define and implement test plans
  • Collaborate with devops to develop instrumentation for tuning and monitoring system performance

Technical Qualifications
Must have:

  • Experience creating technical plans based on product requirements
  • Experience building and managing back-end Python systems
  • Experience with RDBMSes and NoSQL data stores

Nice to have:

  • Test-driven development or continuous integration is a plus
  • Experience with functional programming is a plus
  • Experience with IaaS, such as GCP is a plus
  • Experience with container technology (Docker, Kubernetes) is a plus

Other Requirements

  • Strong communication skills in English
  • Process-oriented: preferably with Agile development and Kanban
  • Detail-oriented: emphasis on consistency and correctness
  • Critical thinker: able to form opinions and justify with evidence and/or logic

Apply Now

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Why work with us?

Led by a professor of machine learning and NLP, Pez.AI manages through teaching. We believe every individual is capable of achieving greatness with proper instruction, mentoring, and leadership. As an employee of Pez.AI, you receive a personalized growth plan so you can continuously level up and take on greater challenges — all while working on state-of-the art problems in artificial intelligence and natural language processing.