Senior Software Engineer

Third-Party Job Posts

4d • $140,000 - $180,000 • Remote

About The Position

As a Senior Software Engineer on Cloudbeds' Core AI Squad, you will design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds. This is a product engineering role focused on production AI systems, agentic workflows, evaluation, and observability. You will work primarily in Python and collaborate across the broader PHP and Java ecosystem, with correctness, reliability, latency, cost, and model quality central to the work.

The Core AI Squad owns customer-facing AI platform infrastructure, agentic workflows, and the evaluation and observability foundations that enable AI-powered experiences across Cloudbeds products. The team builds production capabilities to evaluate models and providers for particular use cases, orchestrate tools and workflows, measure quality over time, and integrate AI safely into customer journeys. You will join a senior, product-minded team that values ownership, pragmatic architecture, fast learning, and collaboration across product, design, data, and engineering.

Requirements

• At least 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, PydanticAI, CrewAI, or similar platforms.
• Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms.
• Comfort working across a polyglot stack, especially contributing to or integrating with PHP and Java services when needed.
• 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, and 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 unit, integration, and end-to-end testing.
• Excellent problem-solving and debugging skills, particularly in complex systems with uncertain or probabilistic behavior.
• Good product sense, customer empathy, strong communication and teamwork, ownership, and time management.
• Business-level English fluency, verbal and written.
• Must be currently authorized to work in the position's location without visa sponsorship.

Responsibilities

• Design, build, and operate customer-facing AI platform services and product features primarily in Python, 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 attention to reliability, correctness, latency, scalability, and cost.
• Evaluate models and providers for product use cases using clear success criteria and flexible platform abstractions.
• Own evaluation, tracing, observability, and quality feedback loops for AI features to detect regressions, understand behavior, and improve over time.
• Write clean, well-tested, and well-documented code; 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 that interact 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.

Benefits

• Remote-first, remote-always work arrangement.
• PTO in accordance with local labor requirements.
• Fully paid parental leave.
• Home office stipend based on country of residency.
• Professional development courses through Cloudbeds University.
• Access to professional development, including manager training, upskilling, and knowledge transfer.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed