Software Engineer building optimization, routing, and demand - forecasting systems for RideCo’s cloud - based on - demand transit software. Developing scalable production services and data science models.
About the role
- Senior Software Engineer building production AI platforms and agentic workflows for Cloudbeds’ hospitality software. Developing reliable customer-facing experiences across a global remote team.
Responsibilities
- Design, build, and operate customer-facing AI platform services and product features primarily in Python, while integrating with PHP and Java systems as needed
- 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 that keep the platform flexible as the AI ecosystem evolves
- Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can detect regressions, understand behavior, and improve over time
- Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
- Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI product opportunities into reliable customer-facing features
- Build, debug, and operate services interacting with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning
- Contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship
Requirements
- 5+ years of software engineering experience building, shipping, and operating production systems
- Strong proficiency with Python in production environments, including APIs, services, tests, debugging, and operational ownership
- Hands-on experience building, integrating, or evaluating agentic systems, agent harnesses, tool orchestration, or LLM-powered workflows
- Experience with agentic frameworks and tooling such as LangChain, LangSmith, LangGraph, or similar platforms (PydanticAI, CrewAI, etc)
- Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms
- Comfortable working across a polyglot stack, especially contributing to or integrating with PHP and Java services when the product requires it
- Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows
- Experience with cloud infrastructure and containerization such as Docker, Kubernetes, and AWS, plus experience working with remote-first, globally distributed teams
- Experience with API-driven design, distributed systems, data modeling, and reliable service boundaries
- Strong knowledge of software best practices, design patterns, performance, security-minded development, and testing across unit, integration, and end-to-end levels
- Excellent problem-solving and debugging skills, especially in complex systems with uncertain or probabilistic behavior
- Good product sense, customer empathy, strong communication, teamwork, ownership, and time management
- Business-level English fluency, verbal and written
- Applicants must be currently authorized to work in Canada without requiring visa sponsorship
Benefits
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Fully Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling, and knowledge transfer
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