Description review
AI Engineer
Direct Supply, Inc. · United States · back to the listing
HR standards
55/100
needs work
Title ↔ description
77/100
solid
Reads as
Machine Learning Engineer
85% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 25 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.
Originally posted on Himalayas
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.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.
Originally posted on Himalayas