Senior AI Application Engineer
Bostononsitesenior$137K – $212K
via Greenhouse
About this role
Join the Managed Services team to build and operate production AI applications that improve how InterSystems solutions are deployed, patched, upgraded, migrated, and supported across AWS, Google Cloud, Azure, and on-premises environments. This role is for an engineer who applies agentic AI, LLM-powered tooling, and modern software practices to operational challenges—eliminating manual toil, preventing errors, improving deployment quality, and validating upgrades and migrations. This role requires strong software engineering fundamentals and hands-on experience operating AI applications in production—not solely prompt engineering, prototypes, or demonstrations.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, java, go, bash, aws…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Boston. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonjavagobashawsazuregoogle cloudcloudformationkubernetesdockerterraformpulumiclaudegithubteams