| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WACANY
Salary: $119,800–$234,700 / yr
Posted: 55 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Software Engineer on the Azure AI Knowledge team, you will design, build, and maintain backend services with external language model dependencies, supporting the evolution of complex retrieval systems at scale. You’ll work closely with Applied Science teams to integrate ML models into production environments securely and efficiently, ensuring high-quality results for both users and large language models (LLMs). Your day-to-day involves leveraging AI tooling to accelerate service delivery, evaluating production integrations, and collaborating across the company with teams like Bing and Microsoft Research. The role requires expertise in C# and Python, experience with large language models, and a strong understanding of state management for scalable services. Ideal candidates are passionate about advancing knowledge retrieval technologies and have at least two years of experience developing live production systems.

Skills

Azure C# Python Java C++ Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Redis Git Jenkins Terraform AWS Google Cloud Machine Learning Artificial Intelligence Large Language Models Vector Search Hybrid Retrieval RAG Agentic Retrieval

What you'll do

Design, build, and maintain Azure backend services and associated APIs.
Partner with Applied Science to integrate high-quality ML models into production securely and reliably.
Evaluate production integrations to ensure end-to-end AI quality of deliverables.
Develop evaluation tooling for assessing the performance of AI systems in production.
Understand state management for large-scale production services at Azure.

What we're looking for

2+ years of experience developing and deploying live production systems.
Proficiency in C#, Python, or Java for production system coding.
Experience with Azure Services and understanding of service release responsibilities.
Ability to work collaboratively and communicate effectively in a hybrid environment.
Strong problem-solving skills for complex and novel challenges.
Development experience with large language models.

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