Senior AI-Driven Full-Stack Engineer (Enterprise)

Apex Systems

Wayzata (MN)

Hybrid

USD 120,000 - 180,000

Full time

35 hours ago

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Benefits offered by this job

ESPP

401(k)

HSA

EAP

Insurance plans

Certification discounts

Job summary

Everforth Apex is seeking a Senior Full-Stack Software Engineer to advance enterprise web applications with Agentic AI capabilities in a hybrid Wayzata, MN setting. The role focuses on building scalable solutions across C# back-end services and React/TypeScript front-ends, connecting LLMs to application workflows.

The ideal candidate will bring 7+ years of experience, strong Azure DevOps, and a track record of delivering AI-enabled enterprise systems.

Qualifications

7+ years of professional software engineering experience in an enterprise or fast-paced product environment.
Advanced back-end experience developing scalable web services using C#.
Strong front-end experience building responsive user interfaces using React and TypeScript.
Experience building or integrating Agentic AI solutions and an understanding of multi-component AI architectures.
Proven production experience building software with LLMs, including direct integration of GenAI models into application workflows.
Strong experience with Microsoft Azure, including Azure DevOps for CI/CD, Azure AI services, and cloud infrastructure.
Experience with enterprise-level software development, CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.
Ability to operate independently and troubleshoot across a broad technology stack.

Responsibilities

Design, build, and maintain features across the application stack, utilizing C# for back-end services and React with TypeScript for user interfaces.
Develop scalable enterprise applications that incorporate Agentic AI workflows, orchestration, and multi-agent coordination.
Connect enterprise data sources and LLMs with application prototypes, building robust workflows for validating and processing LLM outputs.
Deploy code through automated CI/CD pipelines in Microsoft Azure and contribute to application logging, monitoring, and IaC templates.
Collaborate with platform and security teams to troubleshoot applications operating within secure enterprise data environments.
Design and develop applications with multiple integrated resources, including coordinating APIs, worker queues, and distributed components.
Assist in modernizing legacy architectures and migrating workflows toward twelve-factor, cloud-native application designs.
Troubleshoot complex system bugs and technical blockers with minimal daily supervision.