Summary
✨ AI‑Generated
A senior AI engineering role focused on designing, building, and scaling intelligent agents, applications, and platform capabilities. You will solve ambiguous technical problems, make architectural decisions, work with modern AI models and cloud infrastructure, and help establish reliable engineering patterns for production AI systems.
Highlights
Own complex AI solutions end to end, from technical design through production, with high autonomy and opportunities to shape engineering practices for reliable and safe AI adoption.
Description
Senior AI Software Engineer Roles
In person interview with the client- MINNEAPOLIS
1099/W2 Contract/Contract to Hire
Must Work at Minneapolis, Onsite Only
We are seeking a Senior AI Software Engineer to design,
build, and scale our next-generation AI agents, applications, and platform capabilities.
You own complex AI solutions from technical design through production operation and help establish the engineering patterns that enable teams across
Client to build with AI safely, reliably, and quickly.
You combine strong software engineering fundamentals with hands-on experience using modern AI models, agent architectures, cloud infrastructure,
and developer tooling.
You operate with high autonomy, turn ambiguous business and technical problems into practical solutions, and make sound architectural tradeoffs.
This role is expected to have an informed, opinionated perspective on how AI changes software engineering and how work gets done.
You actively experiment with emerging technologies while maintaining a strong bias toward production reliability, measurable outcomes, security,
maintainability, and appropriate use of AI in healthcare.
Required Skills:
5+ years of professional software engineering experience, including ownership of production systems.
Strong software development skills using Python, Go, TypeScript, or comparable backend languages.
Demonstrated experience designing, building, deploying, and operating cloud-native applications on AWS, Azure, GCP, or comparable platforms.
Hands-on experience with infrastructure as code using Terraform or comparable declarative tooling.
Strong working knowledge of Docker, containerization, CI/CD, GitHub, and modern software delivery practices.
Experience with Kubernetes or comparable container orchestration platforms.
Experience designing observable production systems using logging, metrics, tracing, alerting, and operational monitoring.
Hands-on experience building applications using large language models, foundation model APIs, or modern AI development frameworks.
Ability to design APIs, distributed services, asynchronous workflows, and reusable platform components.
Strong understanding of software architecture, testing, reliability, security, and maintainability.
Ability to independently navigate ambiguous technical problems, evaluate tradeoffs, and drive solutions from concept through production.
High agency and demonstrated ability to remain current with rapidly evolving AI technologies and development practices.
Strong written and verbal communication skills, including the ability to explain technical decisions and tradeoffs to technical and non-technical stakeholders
