AI company
healthcare infrastructure
SeniorAIEngineer
“Senior AI Engineer at AI company. Skills: AI architecture, LLM-powered systems, Python back-end, cloud infrastructure. Architect LLM-powered pipelines. Build back-end services”
What You'll Achieve.
shipping production pipelines; defines how the company builds LLM-powered systems at scale
Industry & Context.
US overlap expected
What They're Looking For.
Must Have
5+ years of software engineering experience, at least 2 years shipping AI/ML systems in production, Hands-on experience building and deploying LLM applications, Python back-end skills, Experience with cloud infrastructure on AWS, GCP, or Azure, Proven ability to work with enterprise integration requirements
Nice to Have
Prior work in healthcare systems or HIPAA-governed environments, Experience with FHIR, HL7, or EDI data formats, TypeScript, Next. js, or front-end exposure, Monorepo experience at scale
What You'll Do.
Architect LLM-powered pipelines
Build back-end services
Integrate with enterprise systems
Own AI output quality
Translate requirements
How You'll Work.
Team & Collaboration
working directly with non-technical stakeholders
Communication Scope
scoping and communicating technical solutions
Applying for this Senior AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about AI company?
Real rants from real employees. Read before you apply.