Senior Backend Engineer, AI Platform for Sustainability

Anori; San Mateo; On-site; PHP 9,422,000 - 15,704,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401(k) with 4% match

Unlimited PTO with two company closure

12 weeks fully paid parental leave

Home office setup stipend

Cell phone stipend

Twice-yearly team offsites

Job summary

Anori is seeking versatile backend engineers with a passion for sustainable building development. You will design and implement end-to-end software for inference and optimization in a SaaS platform, handling multimodal data and building data orchestration pipelines.

You will work with AI engineers to deploy scalable ML models and collaborate with cross-functional teams. A strong background in Python and data systems is required, with experience in data pipelines and IaC assets.

Qualifications

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

Responsibilities

• Design end-to-end production software for inference, optimization, and SaaS services.
• Build scalable representations of complex data types.
• Create data orchestration pipelines for geospatial, vector, and text data.
• Collaborate with AI engineers to deploy ML models and services.
• Work with cross-functional teams of engineers, scientists, domain experts, and PMs.

Skills

Python development

Data orchestration

Large-scale software

Geospatial data handling

Infrastructure as code

Education

Bachelor's degree in CS

Tools

GCP

Terraform

Geospatial tooling

Data pipelines

Job description

Anori is seeking versatile backend engineers with a passion for sustainable building development. You will design and implement end-to-end software for inference and optimization in a SaaS platform, handling multimodal data and building data orchestration pipelines.

You will work with AI engineers to deploy scalable ML models and collaborate with cross-functional teams. A strong background in Python and data systems is required, with experience in data pipelines and IaC assets.