Software Engineer
Industry: Information Technology - Computer Software
Job Category: Information Technology
Role facts
Domain: AI automation / hospitality
Work arrangement: San Francisco, California, United States; on-site
Work authorization: Visa sponsorship is not available; US work authorization is required.
Education: No explicit degree requirement in the public JD
Security Clearance Required: No
Compensation & Benefits
Base Salary – Competitive
Equity: 0.20%-1.20%
Comprehensive health insurance and 401k match
Employment: Full-time
Benefits - Full
Relocation Assistance Available - No
Commission Compensation - No
Bonus Eligible - No
Overtime Eligible - No
Interview Travel Reimbursed - No
Candidate Details
Seniority Level - Mid-Senior
Management Experience Required - No
Minimum Education - Other
Willingness to Travel - Never
About the Role
Build full-stack AI systems for hospitality operations and guest communication. Own retrieval, tool orchestration, response generation and production reliability on an engineering team with end-to-end product ownership.
What You'll Do
Design and build the response generation pipeline: routers, orchestrators, and synthesizers that classify intent, assemble context, select tools, and decide whether to send or escalate.
Develop knowledge retrieval systems that ground agent responses in accurate, complete, and current customer data despite messy real-world inputs.
Build tool orchestration layers that execute multi-step workflows reliably, including graceful handling of third-party API failures mid-conversation.
Create evaluation frameworks that measure quality against real conversations and catch regressions before customers see them.
Implement observability and tracing that makes agent reasoning legible and trustworthy to non-technical support teams.
Design controls and interfaces that let support leads adjust agent behavior without writing code.
Extend the system to voice conversations with real-time transcription and the same tool-use capabilities as text.
Optimize for speed and cost through model routing, caching, and prompt refinement.
Own infrastructure, data pipelines, integrations, and API work that underpin the platform.
What We're Looking For
Proven track record shipping production systems that real users depend on.
Comfort working across the full stack and picking up whatever the problem requires.
Deep thinking about retrieval pipelines and how to make them reliable.
Pragmatism about AI models, knowing when to reach for frontier models, fine-tuned variants, or simpler solutions.
Strong evaluation discipline; you measure impact across real conversations before shipping changes.
Experience building systems where your work directly shapes the product.
Skills and Certifications [note: bold skills and certification are required]
Full-stack engineering
Retrieval
LLM tool orchestration
Ideal Candidate
Target profile
3+ years target. Evidence in Full-stack engineering, Retrieval, LLM tool orchestration, Evaluation, Observability. Visa sponsorship is not available; US work authorization is required.
Why this employer is a great company
AI automation company serving hospitality. Hiring a Software Engineer for the responsibilities described in this role.
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