[All remote jobs](https://jobicy.com/jobs.md)[![Caylent logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/9ed8d81b-221.jpg)](https://jobicy.com/company/caylent.md)[Caylent](https://jobicy.com/company/caylent.md) # Senior Platform Engineer AI Summary Caylent is seeking a Senior Platform Engineer to build and maintain its internal AI-native platform. The role combines Python backend engineering, Terraform-based infrastructure, AWS cloud services, and React/Vite frontend contributions. The engineer will develop GenAI and agentic capabilities on AWS Bedrock, including RAG workflows, tool-calling agents, and evaluation loops. This remote position emphasizes collaboration with internal stakeholders, process automation, operational efficiency, scalability, and platform reliability.[Apply for this job](#job-application)[View company](https://jobicy.com/company/caylent.md)ShareRemote from[Mexico](https://jobicy.com/job-region/mexico.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished12 Nov 2026Apply before12 Dec 2026Listing views45Application 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. [Caylent](https://jobicy.com/company/caylent.md) is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production. Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! Mission The mission of this role is to build and extend Caylent’s internal AI-native platform, spanning process automation, GenAI/agentic tooling (built on AWS Bedrock), and delivery enablement, while maintaining the services that power it. As a key member of our Builders team, you’ll collaborate closely with teammates and temporary collaborators, sharing knowledge and mentoring others while directly addressing the needs of internal stakeholders across the organization. What You Should Expect: You’ll be at the forefront of improving how our organization operates from within. You’ll enjoy: Direct Impact on Colleagues: See the immediate results of your work as internal users adopt your solutions, provide feedback, and collaborate with you to refine tools that make their daily work more efficient. Internal Customer Relationships: Build meaningful connections across departments as you understand their challenges and deliver solutions that address their pain points, giving you unique visibility into how the business operates. Impactful Problem-Solving: Tackle real business challenges that directly improve our operational efficiency and bottom line. Your work will make a tangible difference in how our company functions. Technology Diversity: Work across our tech stack with Python backends, Vite frontends, AWS cloud infrastructure, and cutting-edge GenAI solutions using AWS Bedrock Growth Opportunities: Develop both technical depth in cloud-native architecture and business acumen as you translate organizational challenges into technical solutions. Key Responsibilities: – Design and implement backend solutions for core services using Python and Terraform. – Build and extend GenAI/agentic solutions (RAG, tool-calling agents, evaluation loops) on AWS Bedrock as part of our platform stack. – Contribute to frontend interfaces (React/Vite) for the tools and platforms you help build. – Optimize and maintain cloud native applications with a focus on scalability, performance, and reliability. – Collaborate with other engineers and stakeholders to drive the development of tools that enhance process efficiency and automate repetitive tasks. – Contribute to service enhancements, ensuring alignment with business objectives and technical best practices. Qualifications: * Experience developing Generative AI solutions. Must have built at least one simple AI-powered feature or application end-to-end, and be comfortable with the AI SDLC, not just theoretical exposure. * Proficiency in Python for backend development. * Experience deploying and managing services in a cloud-native environment. * Experience developing Generative AI solutions * Experience with frontend development (React/Vite) for building user interfaces. Preferred Qualifications: * Knowledge of AI/ML model integration and working with AI platforms like AWS Bedrock * Experience with DevOps practices, CI/CD pipelines, and automated testing frameworks. * Experience with Rust * Understanding of business processes related to process optimization and SG&A efficiency. Benefits * 100% remote work * Medical Insurance for you and eligible dependents * Generous holidays and flexible PTO * Competitive phantom equity * Paid for exams and certifications * Peer bonus awards * State of the art laptop and tools * Equipment & Office Stipend * Individual professional development plan * Annual stipend for Learning and Development * Work with an amazing worldwide team and in an incredible corporate culture NOTE: This position requires current legal authorization to work in the country where this position is located. Caylent is not able to sponsor visa or work permit applications at this time. At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner. If you have any questions, please contact talent@caylent.com Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com. Show more [Apply now >](https://jobicy.com/jobs/161624-senior-platform-engineer-8.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.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 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires practical end-to-end GenAI delivery alongside cloud-native platform engineering across backend, infrastructure, and frontend layers. It also demands the ability to translate internal business problems into reliable technical solutions with limited direction. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$85,000US market range (per year)$70k–$105k0$115.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The annual cadence and USD estimates are inferred from the senior remote platform-engineering scope and are not employer-provided compensation figures. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[AWS Bedrock](https://jobicy.com/jobs?search_keywords=AWS%20Bedrock.md)[Generative AI](https://jobicy.com/jobs?search_keywords=Generative%20AI.md)[Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic%20AI.md)[Retrieval-Augmented Generation](https://jobicy.com/jobs?search_keywords=Retrieval-Augmented%20Generation.md)[Cloud-native architecture](https://jobicy.com/jobs?search_keywords=Cloud-native%20architecture.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[Vite](https://jobicy.com/jobs?search_keywords=Vite.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Automated testing](https://jobicy.com/jobs?search_keywords=Automated%20testing.md)[Process automation](https://jobicy.com/jobs?search_keywords=Process%20automation.md) Sample interview questionsDescribe an AI-powered feature you built end-to-end and the outcome it achieved.I would explain the user problem, architecture, model and data choices, integration approach, evaluation criteria, production monitoring, and measurable result. I would also discuss trade-offs such as latency, cost, accuracy, privacy, and fallback behavior. How would you design a RAG solution on AWS Bedrock for internal company knowledge? I would define trusted document sources, ingestion and chunking pipelines, metadata and access controls, embeddings and retrieval storage, then connect retrieved context to Bedrock model prompts. I would add evaluation datasets, observability, citation support, guardrails, and a feedback loop to improve answer quality safely. How do you use Terraform to support reliable cloud platform delivery? I structure reusable modules, maintain environment-specific configuration, use remote state with appropriate locking, and review plans through CI/CD. I also apply least-privilege IAM, policy checks, drift detection, and controlled deployment practices to reduce operational risk. How would you balance backend service reliability with rapid delivery of internal automation tools? I would start with the smallest secure solution that solves a validated user problem, while setting baseline expectations for logging, error handling, testing, and monitoring. I would prioritize work using impact and risk, then iteratively strengthen reliability as adoption and criticality increase. How do you collaborate with nontechnical internal stakeholders to define a platform feature? I begin by understanding their workflow, pain points, desired outcomes, and success metrics rather than immediately proposing technology. I translate those needs into clear requirements, prototype early where useful, communicate trade-offs plainly, and incorporate feedback through short delivery iterations. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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