AI Engineer, Product — Build Live Agent Tools

Welltower, Inc

New York (NY)

On-site

USD 160,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Annual Bonus
Generous PTO
Employee Stock Purchase Program
401(k) with Profit Sharing
Student Debt Program
Tuition Assistance
Medical/Dental/Vision benefits

Job summary

Welltower, Inc. seeks an AI Engineer, Product to own the agent-driven tools and interfaces used across the business. You will work directly with users on real data, iterate quickly, and emphasize the product and agent behavior behind it, not just the front end.

You will design how agents behave, ensure trust in outputs, and collaborate with teams to ship reusable AI tooling in a fast-paced, on-site NYC environment.

Qualifications

  • Bachelor's degree in Computer Science or related field or equivalent practical experience.
  • 6+ years shipping production software and owning a product surface end-to-end.
  • Experience deploying an agent in a commercial production environment.
  • Experience building data-dense analytics products where users act on the output.
  • Based in the NYC metro area and able to work on-site.

Responsibilities

  • Build and ship the product surface: the agent-driven tools, interfaces, and workflow tooling that teams use to do their work and make decisions
  • Design, tune, and evaluate how agents behave in the product so the output is trustworthy enough for users to act on
  • Work embedded with users, translating how they actually work into working software on real data
  • Get to a live, useful output fast, then iterate against direct feedback
  • Build configurable, reusable surfaces rather than one-off rewrites so each build accelerates the next
  • Work off a live demo on real data as the spec rather than a lengthy requirements document

Education

Bachelor's degree in Computer Science or related field

Job description

Welltower, Inc. seeks an AI Engineer, Product to own the agent-driven tools and interfaces used across the business. You will work directly with users on real data, iterate quickly, and emphasize the product and agent behavior behind it, not just the front end.

You will design how agents behave, ensure trust in outputs, and collaborate with teams to ship reusable AI tooling in a fast-paced, on-site NYC environment.

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