Hiring an engineer to build the customer lifecycle project, a high-priority platform that streamlines and scales internal business workflows from restaurant onboarding to customer success to sales and technical operations.
Compensation
Base salary range: $100,000–$130,000 per year, based on experience and skills.
Responsibilities
Design, build, and operate backend services that power onboarding, customer success, and sales workflows
Work with onboarding, operations, and sales teams to understand problems, clarify requirements, and deliver improvements from idea to launch
Design data models and APIs that stay reliable as business needs change
Build integrations with Salesforce and other business systems, handling authentication, permissions, data sync, and failure cases
Build AI-powered workflows that connect models with tools and APIs to retrieve information, assist users, and complete tasks with appropriate human review
As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.
Locations (2)
United States
Latin America
Compensation
$140,000 and $180,000 USD. (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, using clear success criteria and abstractions
Own evaluation, tracing, observability, and quality feedback loops for AI features
Software Development Engineer, Amazon Demand Tech Trader Experience
Design and build backend services for an AI-powered conversational assistant for Amazon Marketing Cloud, owning end-to-end delivery of features, building scalable data pipelines, and ensuring operational excellence.
Compensation
USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually
Responsibilities
Design and build core backend services powering an LLM-based conversational assistant
Own end-to-end delivery of features from system design through production deployment
Build scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data
Shape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Leading computer vision and video manipulation work using LLMs, VLMs, and traditional techniques to improve creator content and viewer engagement.
Compensation
183,800.00 - 248,700.00 USD annually
Responsibilities
Design and deploy computer vision and video manipulation models using LLMs, VLMs, and traditional techniques, taking solutions from research prototype to production.
Partner with senior Product and Twitch leadership to translate customer needs into well-defined scientific problems and deliver end-to-end solutions.
Evaluate and integrate generative AI capabilities across Amazon Bedrock and third-party platforms, selecting the approach that maximizes product quality.
Drive the team's scientific agenda by proposing new initiatives, authoring technical documents, and contributing to external publications.
Mentor fellow scientists and engineers through code reviews, design guidance, and technical assessments that raise the overall quality bar.
Lead the design, development, and maintenance of scalable backend services using Kotlin and Spring Boot; drive the evolution of our microservices architecture; design, build, and optimize RESTful APIs and integrations; improve system observability; collaborate with cross-functional teams; mentor other engineers; contribute to CI/CD pipelines and cloud-native environments; support containerized applications on Docker and Kubernetes.
Responsibilities
Lead the design, development, and maintenance of scalable backend services using Kotlin and Spring Boot
Drive the evolution of our microservices architecture, ensuring performance, resilience, security, and maintainability
Design, build, and optimize RESTful APIs and integrations across distributed systems
Improve system observability through monitoring, logging, tracing, and alerting
Collaborate with cross-functional teams to turn business needs into scalable technical solutions
Requirements
University degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or related fields
Validate new designs, build and maintain test equipment, and provide rapid feedback to engineering teams.
Compensation
The starting cash range for this role is $36-$50/hour. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.
Responsibilities
Build prototype test articles across design maturity stages and provide manufacturability, assembly, and efficiency feedback to engineers.
Assemble, commission, maintain, and improve test equipment used to validate aircraft hardware.
Instrument test articles with sensors, wiring, calibrated DAQ systems, and data collection systems to produce accurate, repeatable measurements.
Run mechanical and electrical tests on assembled prototypes while coordinating multiple prototype builds.
Troubleshoot hardware and software failures with Electrical and Embedded Software Engineers and implement test equipment reliability improvements.
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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