Software Engineer

This is a full-stack software engineering role at a seed-stage AI platform company serving the hospitality industry, where AI agents handle guest communication and operations workflows at scale. You’ll own meaningful pieces of the AI system end-to-end, from intent classification and knowledge retrieval through tool orchestration and response generation. The engineering team is flat, giving you real autonomy over design decisions and the systems you build., * Design and build response generation pipelines, including routers, orchestrators, and synthesizers that classify intent, assemble context, select tools, and decide when to send or escalate.

• Develop knowledge retrieval systems that ground agent responses in accurate, current 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 they reach customers.
• 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.

• 3 or more years of experience building and shipping production systems that real users depend on.
• Experience designing and debugging AI/ML systems in production, including retrieval pipelines, prompt engineering, or model orchestration.
• Proficiency across multiple layers of the stack: backend, frontend, infrastructure, or data pipelines.
• Experience building and evaluating retrieval systems such as knowledge bases, ranking, context validation, or semantic search.
• Experience designing multi-step workflows, tool orchestration, or function-calling systems.
• Experience building observability, tracing, or debugging tools for complex pipelines.
• Proficiency in at least one backend language such as Python, Go, Rust, or Java.
• Experience integrating with third-party APIs and handling failure modes in production.
• Bonus: experience with real-time or low-latency systems, voice and transcription, model routing, or building configuration interfaces for non-technical users.
• Candidates must be authorized to work in the US (no visa sponsorship).

• Base salary: $130,000 to $220,000 annually
• Equity: 0.20% to 1.20%
• Comprehensive health insurance and 401(k) match