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REMOTE Backend/AI Engineer
Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listed on 2026-06-01
Seattle, King County, Washington, 98127, USA
Listing for:
CyberCoders
Remote/Work from Home
position Listed on 2026-06-01
Job specializations:
-
Software Development
AI Engineer, Backend Developer
Job Description & How to Apply Below
Compensation: $150k-230k/yr base + EQUITY + FULL BENEFITS!
Location: Remote
Requirements: Backend Engineering foundation, 4+ years of experience in AI or ML
We are building the OS of real estate. Solving the core workflow problems for the largest asset class in the world! We have raised $7 million in financing from multi-billion dollar real estate groups and families such as LeFrak and Milstein in addition to various top VC funds who seed invested in Uber, AirBnB, Lyft, Wish, Hello Fresh, Zalando, Ring, Anduril, and others.
Our co-founders are successful serial entrepreneurs. One of our founders was the founding partner at Sway Ventures and transacted over $1 billion throughout his merchant banking career! The other was the co-founder, CTO of Addepar ($2+ trillion on their platform) and co-founder, CTO of Dynasty (acquired by Appfolio). Other team members include early engineers or executives at Amazon and Robinhood.
We have multiple years of runway & tons of inbound investor interest. We're seeking an AI Engineer to design secure, reliable, and streamlined AI solutions that address core challenges for government and commercial clients. In this role, you'll collaborate closely with Product, Engineering, and Compliance teams to architect and deploy scalable intelligent systems built on responsible AI principles.
Qualifications
- 4+ years of hands-on experience in AI or ML, with a strong foundation in backend engineering
- Proven ability to build scalable, production-grade backend systems with AI components
- Experience integrating AI into real products, including pipelines, evaluation frameworks, and guardrail systems
- Demonstrated ability to design reliable, secure, and maintainable AI-enabled architectures
- Experience deploying AI features into production environments with measurable reliability and performance
- Ability to collaborate closely with product and engineering teams to deliver end-to-end intelligent systems
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