Senior Backend Engineer, AI and Geospatial Data Platform

Anoris Dental; Philippines; On-site; PHP 9,404,000 - 15,674,000; Full time

Benefits offered by this job

Competitive salary

Equity

Medical, dental, and vision plans

401(k) with 4% match

Unlimited PTO with 2 company closure 1

12 weeks fully paid parental leave

Home office setup stipend

Twice-a-year team offsites

Job summary

Anori seeks versatile backend engineers with data engineering experience to help build a scalable AI platform for sustainable building development.

You will work across data schemas, orchestration, and ML deployment, delivering new capabilities from prototype to production, in a fast-changing early-stage environment.

Join a cross-disciplinary team and contribute to geospatial, vector, and text data pipelines while shaping a SaaS platform with meaningful global impact.

Qualifications

• Bachelor’s degree in CS or equivalent practical experience.
• 5+ years of experience building large, complex software systems and applications.
• Experience working with messy and complex data sets and building data orchestration.
• Strong Python development skills.

Responsibilities

• Design and implement end-to-end production‑level software for inference, optimization, and other services as part of a SaaS offering.
• Build scalable representations of complex data types to support AI workflows.
• Create data orchestration pipelines to manipulate geospatial, vector and text data.
• Collaborate with AI engineers to build scalable deployment pipelines for machine learning models and AI services.
• Work effectively with cross-functional teams of engineers, scientists, domain experts and PMs.

Skills

Python development

Data orchestration

Messy data experience

Education

Bachelor’s degree in CS

Tools

GCP

Geospatial data tooling

Job description

Anori seeks versatile backend engineers with data engineering experience to help build a scalable AI platform for sustainable building development.

You will work across data schemas, orchestration, and ML deployment, delivering new capabilities from prototype to production, in a fast-changing early-stage environment.

Join a cross-disciplinary team and contribute to geospatial, vector, and text data pipelines while shaping a SaaS platform with meaningful global impact.