AI Engineer

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 d iscovery , experimentation, evaluation, deployment, and monitoring

Own system design, tradeoffs, and long-term scaling and maint ainability

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:

P ython, 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 f ull-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.

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