Microsoft Recruitment 2025 – Software Engineer/Applied AI Scientist

Qualifications

• Bachelor’s Degree in Computer Science, Data Science or related technical field  
• Should have total of 1 year in Data Science experience 
• 1-3 years technical engineering experience with coding in languages including C#, Python and Pytorch
• 1-3 years of experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)
• 1-3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation. 
• Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#) 

Responsibilities

• Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments. Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy. 
• Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning. 
• Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance. 
• Collaborate with cross-functional teams to translate business requirements into technical solutions. 
• Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement. 
• Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks. 
• Optimize models for latency, throughput, and accuracy in real-world scenarios. 
• Work closely with data scientists, product managers, and other engineers to drive AI initiatives. 
• Stay current with the latest advancements in GenAI, LLMs, and AI frameworks. 
• Prototype and experiment with emerging technologies to assess feasibility and impact.  

Note: This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

• Work with appropriate stakeholders to determine user requirements for a feature.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• Assists and learn about breaking down work items into tasks and provides estimation.
• Build frameworks and tooling to enable rapid experimentation and data-driven analysis in production.
• Automate development workflows, release pipelines, and live-site operations to ensure efficiency and consistency.
• Integrate AI-driven solutions to optimize developer workflows and enhance user experience.
• With guidance, learn to create and implement code for a product, service, or feature reusing code as applicable.
• Assist and learn about breaking down work items into tasks and provides estimation
• Serve as Designated Responsible Individual (DRI) to monitor systems and features for degradation, downtime, or interruptions, and executes approved steps to restore service.
• Review current developments and proactively seek new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Job Description: As a Software Engineer, you will contribute to building next-generation conversational experiences for Microsoft 365 Copilot Chat. You’ll work on features and engineering systems that enable rapid iteration, continuous deployment, and resilient live-site operations. You’ll learn to automate workflows, improve release processes, and leverage AI-driven solutions to optimize performance and elevate user experience. This role is perfect for engineers eager to grow, solve complex problems, and collaborate across disciplines to deliver impactful solutions at scale.