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