The job, broken down
This is an AI Engineer role at Entrata, building production AI and agent systems for their property management platform. You would own the full lifecycle of these systems, from architecture to reliability, and also help build internal AI tooling for other engineers.
What you'd actually do
- Design and build agent architecture for production AI applications
- Handle orchestration and memory systems for AI agents
- Select and evaluate models for different use cases
- Work on reliability and operational tradeoffs of AI systems in production
- Build and scale internal AI and agent platforms used by non-AI engineers
Must-haves
- Experience independently designing and shipping production AI systems
- Hands on experience with agent architecture and orchestration
- Experience with model evaluation and selection
- Understanding of operational and reliability tradeoffs for AI systems in production
Read before you apply
- No salary or compensation range listed
- No specific required years of experience, degree, or tech stack mentioned
- Job duties are described in broad terms (architecture, orchestration, reliability) without concrete tools, frameworks, or team structure named
- Company background takes up most of the posting, with limited detail on the actual role
Written from the posting text only. Check the full description below before you decide.
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Steps to get this job
- 1In your resume and application, mirror the exact phrases from the posting: 'agent architecture', 'orchestration', 'memory', 'model selection', 'evaluation', and 'operational tradeoffs'
- 2Lead with one or two concrete examples of production AI or agent systems you built end to end, not just prototypes
- 3If you've built internal tools or platforms that other engineers used (not just AI specialists), call that out since the posting specifically mentions serving non-AI engineers
- 4Apply directly through Entrata's careers page since no recruiter or hiring manager contact is given in this posting
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