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.  

Industry: Information Technology - Computer Software Job Category: Information Technology Role facts Domain: Supply-chain AI infrastructure Work arrangement: New York, New York, United States; hybrid Work authorization: Visa sponsorship is not available; US work authorization is required. Education: No explicit degree requirement in the public JD Equity: No Equity Compensation Base Salary - Competitive Full-time Benefits - None Relocation Assistance Available - No Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - No Security Clearance Required: No Candidate Details Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Other Willingness to Travel – Never   About the Role You'll be a founding engineer at the company, building the core platform that powers AI agents in supply chain operations. You'll own the data pipelines, integrations, APIs, and operator console that connect AI to real-world systems, ERPs, 3PLs, retailers, and freight partners. This is infrastructure work with direct impact: the scaffolding you build determines whether customers can trust their AI to handle shipments, inventory, and operations reliably.   What You'll Do Take customer-facing features from concept to production, talking to users, designing solutions, building them, and observing real usage. Design secure, auditable data models and event-driven pipelines that power agent workflows. Develop internal and external APIs and a real-time operator console that gives customers full visibility into their operations. Build first-party integrations with ERPs, 3PLs, retailers, and freight partners, plus a resilient sync layer that keeps everything in lockstep. Establish observability, SLOs, and on-call practices for mission-critical workflows where downtime means missed shipments and chargebacks. Work across the full stack, backend, data engineering, and frontend, wherever the highest-leverage problem lives.  What We're Looking For 5+ years building production platforms or infrastructure at scale, ideally at startups. Strong proficiency in TypeScript/Node, Postgres, queues/streams, and cloud platforms like AWS or GCP. Systems thinking paired with product intuition; you care equally about developer experience and operator experience. Versatility across backend, data engineering, and frontend, you don't wait for someone else to build the other half. Genuine interest in hard infrastructure problems that have direct, measurable impact on real businesses.  Skills and Certifications [note: bold skills and certification are required] TypeScript/Node.js Postgres Queues/streams Ideal Candidate Target profile 5+ years target. Evidence in TypeScript/Node.js, Postgres, Queues/streams, AWS or GCP, APIs/integrations Why this employer is a great company AI automation startup for supply chain operations. Hiring a Founding Engineer - Fullstack for the responsibilities described in this role..

Applied AI Engineer Location: San Francisco, California, United States Industry: Information Technology - Computer Software Job Category: Information Technology Role facts • Domain: Production autonomous AI agents • Work arrangement: San Francisco, California, United States; on-site • Work authorization: Visa sponsorship available. • Education: No explicit degree requirement in the public JD • Equity: Meaningful Equity About the Role You'll own the agentic infrastructure at the company, the systems that let agents execute reliably, remember context over months, and know when to pull in a human. While everyone is building agents, almost nobody builds agents that actually run in production at scale. You'll ship to production in your first week and decide how agents plan, remember, fail, and recover. What You'll Do Build and maintain the core infrastructure that enables agents to execute tasks reliably, even after dozens of iterations. Design and implement memory systems that retain months of client context from messy operational data. Develop eval harnesses that teams actually trust to decide what ships to production. Own the full loop: build it, measure it, break it, fix it, and make it learn. Ship agent systems for real customers and iterate based on production feedback. Handle whatever needs doing, infrastructure, orchestration, customer collaboration, and hiring. What We're Looking For Shipped LLM agents that ran unattended in production for real users; you understand that the model is the easy part. Built eval harnesses that people actually used to make shipping decisions. Experience with retrieval and memory systems that work on real, messy operational data rather than demo datasets. Strong Python proficiency and hands-on experience with agent orchestration and infrastructure. Track record of intensity and execution, you force things into existence; bonus if you've built agent tooling in the open or founded something. Compensation & Benefits Competitive USD base + meaningful early equity. Visa Candidate Considered: Yes Relocation and visa sponsorship covered. Security Clearance Required: No Full-time Benefits - Partial Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - No Skills and Certifications [note: bold skills and certification are required] Python Agent orchestration Retrieval/memory Candidate Details Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Other Willingness to Travel - Never Ideal Candidate Target profile 3+ years target. Evidence in Python, Agent orchestration, Retrieval/memory, Evaluation harnesses, Production reliability. Why this employer is a great company Early-stage company building production AI agents. Hiring an Applied AI Engineer for the responsibilities described in this role. San Francisco, California, United States; on-site.