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Software Development Engineer

Job in Redmond, King County, Washington, 98052, USA
Listing for: ManpowerGroup Global, Inc.
Full Time position
Listed on 2026-02-06
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 67 - 73 USD Hourly USD 67.00 73.00 HOUR
Job Description & How to Apply Below

Our client is seeking a Software Development Engineer to join their team.

Job Title: Software Development Engineer

Location: Remote

Pay Range: $67.00/hr.

- $73.00/hr.

What’s the Job?

The main function of Software Development Engineer 5 is to provide senior level technical leadership in architecture, design, development, testing, and evaluation of large-scale software systems, cloud services, and AI powered applications. An SDE5 research, designs, and implements advanced distributed systems and full stack solutions leveraging Azure, modern web technologies, and agentic AI. This role requires deep expertise in AI engineering, including LLM integration, retrieval augmented generation (RAG), grounding techniques, and Microsoft’s M365 Agent ecosystem to build secure, reliable, and high impact intelligent applications for enterprise and business critical scenarios.

Job Responsibilities
  • Lead architecture, design, and implementation of cloud native, full stack, and AI powered solutions using Azure, .NET, JavaScript/Type Script, and distributed systems patterns.
  • Provide deep technical guidance for implementing LLM powered features, agentic AI patterns, grounding strategies, RAG pipelines, and AI orchestration frameworks.
  • Review, approve, and oversee the design and modification of cloud architectures, microservices, data stores, and enterprise integration systems.
  • Direct engineering teams in defining scope, technical requirements, delivery milestones, and integration plans across multiple feature areas.
  • Evaluate and approve designs involving M365 Agent, Microsoft Graph, semantic orchestration, and enterprise scale AI deployments.
  • Plan, coordinate, and implement security, compliance, resiliency, and telemetry practices across systems handling AI powered workflows.
  • Approve, schedule, and supervise deployments, automated testing, CI/CD pipelines, and operational improvements for cloud and AI systems.
  • Develop engineering standards, best practices, performance guidelines, and coding principles that ensure secure, scalable, and maintainable systems.
  • Drive hands on troubleshooting, performance tuning, and incident response for live services, including AI model evaluations and reliability tuning.
  • Collaborate deeply with Microsoft product groups and cross functional engineering teams to deliver integrated M365, Azure, and AI capabilities.
  • Mentor engineers, guide architectural decisions, and raise technical quality across the engineering organization.
Skills
  • Expert verbal and written communication skills; ability to articulate complex AI and cloud architecture decisions to technical and non-technical audiences.
  • Expert ability to work independently, lead technical decision making, and drive engineering execution across multiple parallel work streams.
  • Deep expertise in AI engineering, including:
    • LLM integration (OpenAI, Azure OpenAI)
    • Retrieval Augmented Generation (RAG) patterns
    • Grounding, semantic search, embeddings, and evaluation pipelines
    • Agentic AI principles, orchestration, and tool interaction design
    • M365 Agent ecosystem, Graph APIs, and Copilot extensibility
  • Expert knowledge of full software development lifecycle including architecture, requirements, design, development, testing, deployment, and operations.
  • Expert troubleshooting/debugging skills across distributed systems, cloud environments, AI agents, and application layers.
  • Expert knowledge of C#, .NET, JavaScript/Type Script, REST APIs, microservices, and cloud native design patterns.
  • Deep hands-on knowledge of Azure services:
    Web Apps, Functions, Service Bus, Event Hub, API Management, Cosmos DB, SQL, storage, monitoring, and observability.
  • Strong understanding of cloud security, identity, data protection, compliance, and enterprise operational requirements.
  • Advanced mentoring and leadership abilities to guide senior engineers and improve engineering culture and maturity.
Top 3 Hard Skills Required + Years of Experience
  • Minimum 1+ years’ experience with AI Engineering & Agentic AI
    • Hands on experience building AI powered features using LLMs, RAG pipelines, grounding techniques, embeddings, and agentic AI patterns.
    • Experience designing, rearchitecting, or extending M365 Agents or…
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