Senior Software Engineer GenAI
@ Microsoft

Hybrid
$150,000
Hybrid
Full Time
Posted 2 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXX****** @microsoft.com
Recommended after applying

Job Details

Overview

Microsoft is expanding its Bucharest team to build secure, scalable systems focused on cutting-edge AI-powered solutions. As a Senior Software Engineer GenAI, you will design, build, and support systems that drive innovation in Cloud + AI.

Responsibilities

  • Work with stakeholders to define feature requirements.
  • Develop design documents and break down work items.
  • Implement and reuse code for various features.
  • Monitor systems on-call as designated responsible individual.
  • Own full lifecycle from design to post-production support.

Qualifications

Required: Bachelor’s Degree or equivalent in Computer Science, proven technical expertise in languages such as C, C++, C#, Java, JavaScript, or Python, and hands-on experience with Large Language Models including prompt engineering and GenAI native solutions.

Preferred: Master's Degree, deep proficiency in cloud-native application design, and experience with frameworks like Microsoft Semantic Kernel and LangChain.

Our Culture

Microsoft values inclusion, technical excellence, and continuous learning. Our mission is to empower every person and organization to achieve more, with a focus on respectful collaboration and growth.

Key skills/competency

  • GenAI
  • Cloud
  • Secure systems
  • Scalability
  • LLMs
  • Coding
  • Prompt engineering
  • Distributed systems
  • Agentic frameworks
  • On-call support

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Research Microsoft culture: Understand mission, values, and recent projects.
  • Tailor your resume: Highlight security and cloud experience.
  • Showcase GenAI skills: Emphasize LLM and prompt engineering experience.
  • Prepare for technical interviews: Review coding and system design challenges.
  • Network with employees: Connect via LinkedIn for insights.

📝 Interview Preparation Advice

Technical Preparation

Review system design for scalable architectures.
Practice coding problems in listed languages.
Study cloud platform best practices and patterns.
Examine GenAI and LLM deployment case studies.

Behavioral Questions

Describe teamwork in challenging projects.
Explain handling on-call system issues.
Discuss conflict resolution in diverse teams.
Share learning from past project failures.

Frequently Asked Questions