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Senior Full Stack Engineer

LiveCareerPuerto Rico
On-site Full-time

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Experience Level

Senior

Qualifications

Required Qualifications5+ years of experience in delivering full-stack software products. Bachelor’s or Master’s degree in Computer Science, Data Science, or related engineering fields. Proficient in TypeScript and React. Backend experience with TypeScript and Node.js/bun. Experience in building desktop applications using Electron or similar frameworks. Hands-on experience with cloud services and infrastructure (Azure, AWS, or GCP). Strong knowledge of Docker and deployment automation. Familiarity with monitoring and observability tools (New Relic, Grafana, Datadog, etc.). Proven experience in architecting and deploying distributed systems at scale. Understanding of message queues and event-driven architecture. A deep intellectual curiosity and a strong commitment to solving complex problems. Exceptional communication skills with the ability to collaborate effectively across teams. Preferred QualificationsFamiliarity with additional programming languages or frameworks. Experience in agile methodologies and team collaboration.

About the job

Join us in developing an innovative automation framework driven by large language models to address intricate, real-world workflows. We are in search of a Senior Full Stack Engineer who possesses a solid grounding in software fundamentals and extensive full-stack experience with JavaScript. Your role will involve designing and implementing agent observability tools and managing cloud infrastructure from start to finish. If you are passionate about delivering complete products swiftly and enjoy tackling use cases in applied AI, we invite you to connect with us!

About Our Team

The AI Technology Team, part of our Product Technology Group, acts as BOLD’s internal incubator for applied AI, utilizing cutting-edge large-language models to solve our most challenging problems.

Your Responsibilities

  • Develop agent observability tools from the ground up.
  • Implement real-time monitoring and observability systems for automated workflows.
  • Design scalable and distributed cloud infrastructure.
  • Integrate with existing backend services.
  • Establish production monitoring and alert systems following best practices.
  • Optimize performance and resource usage at scale.
  • Create robust error handling and advanced agent recovery mechanisms.
  • Deliver quickly while ensuring architectural soundness.
  • Make informed technical decisions that enhance the overall system.

About LiveCareer

At LiveCareer, we are committed to providing innovative solutions that empower individuals to reach their career goals. Our focus on applied AI and intelligent automation enables us to tackle some of the most pressing challenges in the workforce today, making us a leader in the industry.

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