About the Role

Direct Supply isbuildingAI systems that change how care is delivered to millions of seniors and support the people who care for them.We'rehiring engineers to design, ship, andoperatethose systems in production.

This role spans the full product lifecycle: discovery,experimentation,application delivery, and deployment.You'llwork directly with customers and product teams, owntechnicalcalls, and see yourproduct used at scale

We expect technical rigor,architecturediscipline,strong product judgment, anda track recordof shipping. In return, you getautonomyand real customer impact.

WhatYou’llDo

• Design, build, andoperatesystems in customer-facing production environments

• Translate ambiguous business and customer problems intoprototypes & technical specs

• Track AIcapabilitiesand apply them where they create clear leverage

• Ownthe fullapplicationlifecycle:productdiscovery, experimentation, evaluation, deployment, and monitoring

• Ownsystem design, tradeoffs,andlong-termscaling andmaintainability

• Buildcodebasesthatarelegible to agents and other developers;drive the organization forward ontooling

• Partner withproduct managerstoenhance theirproduct vision, includingwithAI-native solutions

WhatWe’reLooking For

• Strong applied AI and software engineering fundamentals

• Builderswho canspantech,product,and designthinkingwithhigh 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

Youdon'tneed every one of these, but this is the stackyou'llbe productive in:

• Python, C#,TypeScript,PostgreSQL;

• Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI)

• Docker, Terraform, and AWS

Minimum Qualifications

• 2+ years insoftware engineeringor applied AI

• ExperienceworkingwithAIdevelopmenttoolsinfull-stack applications

• ExperiencedesigningAI-basedsolutionstorealworkflows

• Working knowledge of cloudand frontier AIplatforms

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,establishedproducts.

• Experience working with healthcare, regulated, or sensitive data