AI Engineer

Direct Supply; Milwaukee (WI); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Generous benefit package

Job summary

Direct Supply is seeking engineers to design, build, and operate AI systems that enhance care delivery to seniors. This role involves all product lifecycle stages: discovery, experimentation, application delivery, and deployment, requiring a strong foundation in software engineering and AI.

The ideal candidate has 2+ years of experience, familiarity with cloud and AI platforms, and skills in programming languages like Python and C#. A generous benefits package is offered.

Qualifications

• 2+ years in software engineering or applied AI.
• Experience with AI development tools in full-stack applications.
• Working knowledge of cloud and frontier AI platforms.

Responsibilities

• Design, build, and operate systems in customer-facing production environments.
• Translate ambiguous problems into prototypes & technical specs.
• Track AI capabilities and apply them for leverage.
• Own the full application lifecycle from discovery to monitoring.

Skills

Applied AI fundamentals

Software engineering fundamentals

Cloud platforms knowledge

Prototyping & technical specs skills

Education

Degree in Computer Science, Engineering, Data Science, or related field

Tools

Python

C#

TypeScript

PostgreSQL

Docker

Terraform

AWS

Job description

About the Role

Direct Supply is building AI systems that change how care is delivered to millions of seniors and support the people who care for them. We’re hiring engineers to design, ship, and operate those systems in production.

This role spans the full product lifecycle: discovery, experimentation, application delivery, and deployment. You’ll work directly with customers and product teams, own technical calls, and see your product used at scale.

We expect technical rigor, architecture discipline, strong product judgment, and a track record of shipping. In return, you get autonomy and real customer impact.

What You’ll Do

• Design, build, and operate systems in customer-facing production environments
• Translate ambiguous business and customer problems into prototypes & technical specs
• Track AI capabilities and apply them where they create clear leverage
• Own the full application lifecycle: product discovery, experimentation, evaluation, deployment, and monitoring
• Own system design, tradeoffs, and long‑term scaling and maintainability
• Build code bases that are legible to agents and other developers; drive the organization forward on tooling
• Partner with product managers to enhance their product vision, including with AI‑native solutions

What We’re Looking For

• Strong applied AI and software engineering fundamentals
• Builders who can span tech, product, and design thinking with high autonomy
• Bias for shipping, iterating, and following customer feedback over polish
• High ownership & agency – measured by outcomes, not deliverables
• Curiosity to improve systems, products, and your own craft

What We Work In

You don’t need every one of these, but this is the stack you’ll be productive in:

• Python, C#, TypeScript, PostgreSQL;
• Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI)
• Docker, Terraform, and AWS

Minimum Qualifications

• 2+ years in software engineering or applied AI
• Experience working with AI development tools in full‑stack applications
• Experience designing AI‑based solutions to real workflows
• Working knowledge of cloud and frontier AI platforms

Nice to Have

• Degree in Computer Science, Engineering, Data Science, or a related field
• Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs
• Background in high‑ambiguity environments with proximity to customers (e.g., early‑stage startups, forward‑deployed engineering, internal product teams)
• Experience in large‑scale Python, C#, and TypeScript codebases
• Experience integrating AI solutions into existing, established products
• Experience working with healthcare, regulated, or sensitive data

Job to be performed in the location listed. Generous benefit package available.