Microsoft · 17 hours ago
Member of Technical Staff, Senior Applied AI Engineer
Microsoft is hiring a Senior Applied AI Engineer to join a dynamic team focused on building next-generation AI assistant capabilities. The role involves developing LLM-powered features, maintaining evaluation frameworks, and integrating machine learning components into products.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Design and ship LLM-powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency
Prototype new capabilities rapidly and iterate based on user signals and evaluation data
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality
Run hillclimbing loops across prompts, models, and tool-use strategies to continuously improve assistant performance
Analyze failure modes, design mitigations, and drive systematic improvements across the stack
Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines
Create reusable frameworks that accelerate the entire AI org’s ability to ship high-quality assistant features
Integrate LLMs with product surfaces, APIs, and backend systems
Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence
Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences
Operate with startup-founder energy: bias for action, rapid iteration, and comfort with ambiguity
Work closely with researchers, engineers, and product leaders in a fast-moving AI team where ideas ship quickly and impact is immediate
Contribute to a culture of experimentation, clarity, and high-quality execution
Qualification
Required
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Preferred
Master's Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience
2+ years shipping production-level code, models, or data analysis
1+ years using AI-assisted coding and analysis techniques
Experience working on small teams and mid-stage startup environments
Experience working on AI products
PhD in engineering, applied math, statistics, or related analytical field
4+ years shipping production-level code, models, or data analysis
Deep experience building from zero-to-one
Hands on work hillclimbing AI evaluations
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
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reference. (Data Powered by US Department of Labor)
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2023 (7677)
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2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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