AI Software Engineer

dBestWorkz LLC; Minneapolis (MN); On-site; USD 140,000 - 210,000; Full time

Job summary

dBestWorkz LLC is seeking a Senior AI Software Engineer to design, build, and scale next-generation AI agents, applications, and platform capabilities.

You own complex AI solutions from design through production operation and help establish engineering patterns that enable teams across Medica to build with AI safely, reliably, and quickly.

Qualifications

• 5+ years of professional software engineering experience with ownership of production systems.
• Strong software development skills in Python, Go or TypeScript.
• Hands-on experience deploying cloud-native apps on AWS/Azure/GCP.
• Proficiency with infrastructure as code (Terraform).
• Strong knowledge of Docker, containerization, CI/CD and GitHub workflows.
• Experience with Kubernetes and container orchestration.
• Experience designing observable production systems with logging and metrics.
• Hands-on experience with large language models, or modern AI development frameworks.
• Ability to design APIs, distributed services and reusable platform components.

Responsibilities

• Design, build, and scale AI agents, applications, and platform capabilities.
• Own AI solutions from design through production operations.
• Establish engineering patterns enabling teams to build with AI safely and reliably.
• Work with cloud infrastructure, developer tooling, and modern AI frameworks.
• Communicate decisions and tradeoffs to technical and non-technical stakeholders.

Skills

Python

Go

TypeScript

Cloud platforms

Terraform

Docker

Kubernetes

CI/CD

Observability

LLMs

Tools

AWS

Azure

GCP

Terraform

Docker

Kubernetes

GitHub

Job description

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 Medica 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, Google Cloud Platform, 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