Build and maintain full-stack AI systems for hospitality operations, including intent classification, retrieval, tool workflows, evaluation, observability, and user interfaces.
Compensation
Base salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity. Benefits include health insurance and a 401(k) match. Visa sponsorship is not available; candidates must be authorized to work in the United States.
Responsibilities
Build response-generation pipelines that classify intent, assemble context, select tools, and determine whether to respond or escalate.
Develop retrieval systems that ground responses in accurate, current customer data, including handling messy inputs.
Build reliable multi-step tool workflows and manage third-party API failures during conversations.
Create evaluation frameworks using real conversations to measure quality and catch regressions.
Implement observability and tracing that make complex agent behavior understandable to support teams.
Requirements
Strong software engineering fundamentals supported by relevant formal education.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Locations (4)
Cambridge, Massachusetts, United States
McLean, Virginia, United States
New York, New York, United States
San Jose, California, United States
Compensation
Cambridge, MA: $197,300 - $225,100 for AI Engineer 4
McLean, VA: $197,300 - $225,100 for AI Engineer 4
New York, NY: $215,200 - $245,600 for AI Engineer 4
San Jose, CA: $215,200 - $245,600 for AI Engineer 4
Lead the design, architecture, and technical leadership of containerized/or serverless applications in the cloud to support Razer's ecosystem, transforming legacy monolithic systems into distributed, cloud-native microservices architecture.
Responsibilities
Lead the design and evolution of scalable, secure, high-performance, and distributed end-to-end system architectures and robust data synchronization with effective conflict resolution.
Architect and drive the transformation of legacy monolithic systems into modular, domain-driven microservices deployed across multiple geographic regions.
Define and implement patterns for regional service deployment, traffic routing, failover, and disaster recovery to achieve low latency and high availability.
Design systems that comply with data residency and privacy regulations (e.g., GDPR, PDPA) by ensuring user data is stored and processed within designated geographic boundaries.
Utilize containerization and Kubernetes to support scalable and reproducible deployments in a cloud environment (AWS, GCP, or Azure).
Design, build, and operate customer-facing AI platform services and product features primarily in Python, integrating with PHP and Java systems, to deliver AI-powered experiences for Cloudbeds customers.
Compensation
Depending on your skills and experience, you can expect your annual compensation to be between $140,000 and $180,000 USD. Please note that we maintain high flexibility, and packages above this range will be considered. (The salary is only for US-based candidates).
Responsibilities
Design, build, and operate customer-facing AI platform services and product features primarily in Python
Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
Evaluate models and providers for specific product use cases
Own evaluation, tracing, observability, and quality feedback loops for AI features
Optimize and improve performance of autonomous driving context fusion software on automotive platforms.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Responsibilities
Optimize context fusion software that integrates perception, map, and localization data to represent the driving environment.
Design and refine software architecture, interfaces, and data flows to meet CPU, memory, and latency requirements on automotive platforms.
Profile complex software pipelines, identify performance bottlenecks, and implement improvements backed by reproducible measurements.
Work with algorithm teams to improve computational efficiency while preserving algorithm behavior, output quality, and correctness.
Develop benchmarks and performance regression tests to track improvements and prevent regressions.
Requirements
PhD in Computer Science or related field
MS in Computer Science or related field
BS in Computer Science or related field
Nice to have: real-time software on embedded or automotive platforms
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