12 hours ago
Redmond, WA, USAMid Level
H1B sponsor
Base Salary
$102k - $219k/yr
Responsibilities
- Design, develop, test, deploy, and support scalable software services and AI-powered applications.
- Build copilots, intelligent agents, and workflow automation using large language models and agentic AI frameworks.
- Develop reusable APIs, services, libraries, and platform components for enterprise AI scenarios.
- Implement RAG, semantic search, embeddings, tool calling, memory, and multi-agent workflows.
- Integrate AI capabilities with enterprise systems, operational processes, and structured and unstructured data sources.
- Create automated evaluations for accuracy, groundedness, relevance, safety, latency, reliability, and cost.
- Write clean, maintainable, secure, accessible, and well-tested production code.
- Participate in architecture reviews, code reviews, incident response, troubleshooting, and operational improvements.
- Apply security, privacy, compliance, accessibility, and responsible-AI requirements throughout the engineering lifecycle.
- Use AI-assisted development tools while maintaining accountability for code quality.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- Proficiency in one or more of C#, Python, Java, JavaScript, or TypeScript is preferred.
- Experience with cloud-based applications, APIs, distributed services, enterprise platforms, generative AI, LLMs, prompt engineering, embeddings, RAG, or intelligent agents is preferred.
- Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, AutoGen, or similar technologies is preferred.
- Experience delivering production-grade copilots, AI agents, RAG systems, or intelligent automation is preferred.
- Knowledge of model and agent evaluation, responsible AI, prompt-injection protection, content safety, and AI red teaming is preferred.
- Experience with Azure AI Search, AKS, App Service, Functions, Cosmos DB, Microsoft Fabric, or Azure Monitor is preferred.
- Familiarity with containers, Kubernetes, infrastructure as code, managed-identity security patterns, microservices, event-driven architectures, distributed systems, caching, and performance optimization is preferred.
- Familiarity with MLOps, LLMOps, experimentation, telemetry, and AI lifecycle management is preferred.
- Experience with supply-chain, ERP, SAP, or other large-scale enterprise systems is preferred.
- Ability to meet Microsoft Cloud background-check and applicable customer or government security-screening requirements is required.
Benefits
- The typical U.S. base pay range is USD $102,100–$202,200 per year; specific ranges apply in the San Francisco Bay Area and New York City metropolitan area.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of five days, with applications accepted on an ongoing basis until filled.
Tech Stack
Categories
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.