Software Engineer II (AI, Geospatial)

TL;DR

Software Engineer (AI, Geospatial): Designing and building software functionalities to improve service reliability, scalability, and performance for location and geospatial knowledge systems with an accent on applying engineering techniques and machine learning solutions to solve complex geospatial search problems in production. Focus on experimenting with new technologies like LLMs and delivering premium service quality internationally.

Location: Redmond, United States. Employees who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week starting January 26, 2026.

Salary: USD $100,600 – $199,000 per year (USD $131,400 – $215,400 for San Francisco Bay area and New York City metropolitan area).

Company

hirify.global Search Places is the center of excellence for understanding and using location and geospatial knowledge for Microsoft products and Azure Maps APIs.

What you will do

• Design and build software functionalities to improve service reliability, scalability, and performance.
• Apply engineering techniques and machine learning solutions to solve complex geospatial search problems in production.
• Work on core technology and engineering stack to deliver features internationally.
• Experiment with new technologies such as LLMs to improve system quality and efficiency.
• Collaborate with partner teams to develop high-quality geospatial services.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in C, C++, C#, or Python.
• Capable of designing and implementing scalable production quality services and automated solutions to process large-scale data.
• Ability to meet Microsoft, customer, and/or government security screening requirements.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience.
• Maps/Geospatial experience.
• Understanding of Azure or other cloud services/functions.
• Familiarity with machine learning frameworks and libraries and experience in machine learning and artificial intelligence projects.

Culture & Benefits

• Opportunity to work on challenging problems, build solutions using cutting-edge technologies.
• Direct impact on millions of users worldwide.
• Culture of inclusion built on values of respect, integrity, and accountability.
• Growth mindset, innovation, and collaboration to achieve shared goals.
• Eligible for benefits and other compensation.