[All remote jobs](https://jobicy.com/jobs.md)[![Cloudbeds logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/3aef1a38-221.png)](https://jobicy.com/company/cloudbeds.md)[Cloudbeds](https://jobicy.com/company/cloudbeds.md) # Senior Software Engineer AI Summary Cloudbeds is seeking a Senior Software Engineer for its Core AI Squad to build and operate customer-facing AI platform capabilities. The role centers on production Python services, agentic workflows, LLM integration, evaluation, tracing, and observability. The engineer will integrate with PHP and Java systems and work with PostgreSQL, SQS, gRPC, REST APIs, AWS, Docker, and Kubernetes. This is a senior individual-contributor role with architectural input, code-review, mentoring, and cross-functional collaboration responsibilities. The position supports remote work across Latin America and North America, with the stated compensation range applicable to US-based candidates.[Apply for this job](#job-application)[View company](https://jobicy.com/company/cloudbeds.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md), [LATAM](https://jobicy.com/job-region/latam.md)SalaryUSD 140k–180k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished10 Nov 2026Apply before10 Dec 2026Listing views46Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. What Makes [Cloudbeds](https://jobicy.com/company/cloudbeds.md) Unique At [Cloudbeds](https://www.cloudbeds.com/), we’re not just building software, we’re transforming hospitality. Our platform powers hotels across 150 countries, processing billions in bookings annually. From boutique properties to large hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers’ biggest challenges. Since our founding in 2012, we’ve continually been recognized for excellence, most recently earning top honors at the 2026 HotelTechAwards for Best Hotel Management Software and landing on Deloitte’s Technology Fast 500 again, but we’re just getting started. How You’ll Make an Impact: 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. This is a product engineering role focused on production AI systems, agentic workflows, evaluation, and observability – not an internal tooling role. You’ll work primarily in Python while collaborating across our broader PHP and Java ecosystem, building systems where correctness, reliability, latency, cost, and model quality are core to the job. Your goal is to help Cloudbeds ship AI-powered customer experiences that are useful, trusted, scalable, and measurable. Our Core AI Squad: The Core AI Squad owns the customer-facing AI platform infrastructure, agentic workflows, and evaluation and observability foundations that enable AI-powered experiences across Cloudbeds products. The team builds the production capabilities that let us evaluate models and providers for specific use cases, orchestrate tools and workflows, measure quality over time, and integrate AI safely into real customer journeys. You’ll join a senior, product-minded group that values ownership, pragmatic architecture, fast learning, and strong collaboration across product, design, data, and engineering. What You Bring to the Team: * 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 * Comfort building, debugging, and operating 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 What Sets You Up for Success: * 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 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). Work Authorization: Please note that applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship. At this time, Cloudbeds is unable to provide sponsorship for work visas. What to Expect – Your Journey with Us Behind Cloudbeds’ revolutionary technology is a team redefining what’s possible in hospitality. We’re 650+ team members across 40+ countries, bringing together elite engineers, AI architects, world-class designers, hoteliers, and hospitality veterans to solve challenges others haven’t dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we’re not just watching the future of hospitality unfold – we’re coding it, designing it, writing it, and shipping it. If you’re ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at [cloudbeds.com](https://www.cloudbeds.com/) Cloudbeds [Awards](https://www.cloudbeds.com/press/?press_type=company-news&news_category=awards): * Winner – Hotel Management Software | HotelTechAwards (2026) * Overall 10 Best Places to Work | HotelTechAwards (2026) * Overall Top 10 Hotelier’s Choice | HotelTechAwards (2026) * Finalist – Property Management Systems (PMS) & Channel Managers | HotelTechAwards (2026) * Most Loved Workplace® Certified (2024) * Deloitte Technology Fast 500 (2024) Discover our 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 Everyone is Welcome – A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard-of-hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring process. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. Show more [Apply now >](https://jobicy.com/jobs/160792-senior-software-engineer-23.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a technically demanding senior role involving reliable production AI systems, probabilistic model behavior, distributed services, and cost, latency, and quality trade-offs. It also requires technical leadership and independent decision-making in ambiguous product areas. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$160,000US market range (per year)$145k–$195k0$214.50k AI insightThe employer explicitly states annual compensation of $140,000–$180,000 USD for US-based candidates. The estimated US market range for a senior software engineer specializing in production AI systems is $145,000–$195,000 USD annually. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[LLM integration](https://jobicy.com/jobs?search_keywords=LLM%20integration.md)[Agentic workflows](https://jobicy.com/jobs?search_keywords=Agentic%20workflows.md)[LangChain](https://jobicy.com/jobs?search_keywords=LangChain.md)[LangGraph](https://jobicy.com/jobs?search_keywords=LangGraph.md)[RAG architectures](https://jobicy.com/jobs?search_keywords=RAG%20architectures.md)[Vector databases](https://jobicy.com/jobs?search_keywords=Vector%20databases.md)[AI evaluation](https://jobicy.com/jobs?search_keywords=AI%20evaluation.md)[LLM observability](https://jobicy.com/jobs?search_keywords=LLM%20observability.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[gRPC](https://jobicy.com/jobs?search_keywords=gRPC.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md) Sample interview questionsHow would you design an evaluation framework for a customer-facing LLM workflow?I would begin by defining task-specific success criteria, such as factuality, tool-selection accuracy, completion rate, latency, cost, and safety outcomes. I would create representative versioned datasets, run automated offline evaluations for every prompt, model, or workflow change, and combine them with production tracing and sampled human review. Thresholds and regression alerts would prevent quality degradation from reaching customers. How do you make an agentic workflow reliable when external tools fail or return incomplete data? I design explicit workflow states, typed tool contracts, timeouts, retries with backoff, idempotency controls, and bounded recovery paths. The agent should distinguish retryable failures from validation failures, record structured traces, and provide a safe fallback or escalation path when it cannot complete a task reliably. I also test failure modes using mocks and fault injection. What factors would you consider when selecting an LLM provider for a production use case? I would evaluate quality against a representative benchmark, latency, token cost, context-window needs, tool-calling reliability, data-handling requirements, regional availability, rate limits, and operational maturity. I would keep the provider interface abstracted so models can be compared or replaced without rewriting product logic. Production telemetry would validate that offline results remain representative. Describe your approach to integrating a new Python AI service into an existing PHP and Java ecosystem. I would first define stable API or event contracts, including authentication, schemas, versioning, error behavior, and ownership boundaries. I would use documented REST or gRPC interfaces and asynchronous messaging where appropriate, then add contract tests and observability across service boundaries. This approach permits incremental adoption while preserving compatibility and operational clarity. How would you balance model quality, response latency, and cost for an AI feature? I would instrument each workflow stage and establish measurable service-level objectives for quality, latency, and cost. Based on those metrics, I could route simpler tasks to smaller models, cache reusable results, reduce prompt size, use retrieval selectively, and reserve more capable models for high-value or low-confidence cases. Any optimization would be validated through controlled evaluation and monitored after release. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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