Applied AI Software Engineer – Azure & Agentic AI

Experis Austria; Redmond (WA); Remote; USD 76,000 - 79,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Vision Plan

Health Savings Account

Weekly Pay

Job summary

Experis is seeking an Applied AI Software Engineer – Azure & Agentic AI in a remote role requiring EST hours. The position focuses on building production-ready cloud services and AI-first automation within the Azure AI Infrastructure Product Group.

The role emphasizes strong backend development in .NET/C#/Python/SQL, hands-on AI workloads with LLMs, and deep Azure service knowledge. Local candidates near Charlotte prioritized, with competitive hourly pay and benefits.

Qualifications

• Strong proficiency in .NET, C#, Python, and SQL for backend development.
• Hands-on experience with LLMs and AI services including prompt engineering.
• In-depth knowledge of Azure App Services, Azure SQL, Logic Apps, and Azure AI tooling such as Copilot Studio, AI Foundry, and AI Search.

Responsibilities

• Identify high-friction operational workflows, quantify the cost of the current state, and design automated or agent-driven replacements that improve time, accuracy, and throughput.
• Build agentic workflows using Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, MCP, and related orchestration patterns, including multi-step tool use and human-in-the-loop checkpoints.
• Replatform working prototypes into secure, observable, supportable production services with real architecture, testing, telemetry, and an accountable ownership model.
• Design and implement RESTful APIs and backend services on Azure App Services that allow agents and automation to act on systems of record safely and within scope.
• Instrument and evaluate AI systems with quality infrastructure (offline eval sets, regression gates, drift detection) and build observability for cost, latency, tool-call outcomes, and safe rollback.

Skills

.NET/C#/Python/SQL backend

LLMs & AI services

Azure services

Tools

Azure DevOps

Job description

Applied AI Software Engineer – Azure & Agentic AI

Redmond, WA 98052

Applying to

Experis

Applied AI Software Engineer – Azure & Agentic AI

Experis

Redmond, WA 98052

Our client, AI Infrastructure Product Group is seeking a Software Development Engineer to join their team. As a Software Development Engineer - Applied AI Software Engineer – Azure & Agentic AI, you will be part of the Azure AI Infrastructure Product Group’s TPM organization supporting the creation of AI-first program management frameworks and operational execution. The ideal candidate will have a strong engineering mindset for non-deterministic systems, hands‑on experience building production‑ready cloud services, and the drive to observe real workflows before automating them.

Location:Remote (must work EST hours). Candidates local to Charlotte will be prioritized.

Pay Range: $55- $57.hr on Experis W2 (Benefits/PTO/401k)

Top 3 Must-Have HARD Skills & years of experience for each:

• Strong proficiency in .NET (preferably .NET 10 or recent versions), C#, Python, and SQL for backend development.
• Hands‑on experience building with LLMs and AI services, including prompt engineering, and at least one AI‑powered feature, agent, or automation you carried into production or near‑production and can discuss in technical depth. Experience enhancing and maintaining existing AI applications through feature development, bug resolution, and workflow optimization,
• In‑depth knowledge of Azure services including App Services, Azure SQL, Logic Apps, and Azure AI tooling such as Copilot Studio, AI Foundry, and AI Search.

What's the Job?

• Identify high‑friction operational workflows, quantify the cost of the current state, and design automated or agent‑driven replacements that improve time, accuracy, and throughput.
• Build agentic workflows using Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, MCP, and related orchestration patterns, including multi‑step tool use and human‑in‑the‑loop checkpoints.
• Replatform working prototypes into secure, observable, supportable production services with real architecture, testing, telemetry, and an accountable ownership model.
• Design and implement RESTful APIs and backend services on Azure App Services that allow agents and automation to act on systems of record safely and within scope.
• Instrument and evaluate AI systems with quality infrastructure (offline eval sets, regression gates, drift detection) and build observability for cost, latency, tool‑call outcomes, and safe rollback.

What's Needed?

• Strong proficiency in .NET (preferably .NET 10 or recent versions), C#, Python, and SQL for backend development.
• Hands‑on experience building with LLMs and AI services, including prompt engineering, and at least one AI‑powered feature, agent, or automation you carried into production or near‑production that you can discuss in technical depth.
• In‑depth knowledge of Azure services including App Services, Azure SQL, Logic Apps, and Azure AI tooling such as Copilot Studio, AI Foundry, and AI Search.
• Demonstrated experience automating real workflows through process automation, orchestration, integration, or agentic tooling, with sound judgment about where automation pays off.
• Experience using Azure DevOps for source control, CI/CD, automated testing, release management, and work tracking, plus the ability to collaborate across technical and non‑technical stakeholders.

What's in it for me?

• Exposure to senior stakeholders while building AI‑first operational frameworks that directly improve how teams execute.
• Hands‑on work with cutting‑edge AI and agent technologies in Azure, including evaluation and production hardening.
• Excellent resume‑building opportunity through end‑to‑end delivery: prototype → production service with security, observability, and supportability.
• Work‑hour flexibility as long as deliverables are met, with support provided when needed (must work EST hours).
• Chance to help shape durable automation and orchestration infrastructure so solutions compose rather than accumulate as one‑offs.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• Weekly Pay

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast‑changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in‑demand talent.

Applied AI Software Engineer – Azure & Agentic AI