Remote Backend Engineer, AI Platform

at Calendly

Posted 2 days ago 9 applied

Description:

  • We are seeking a Backend Engineer to help design and build our next-generation AI Platform.
  • As a key member of our Engineering team, you will drive the development of highly scalable, reliable, and performant backend systems that power AI services for end users and product teams.
  • You will collaborate closely with ML engineers, product managers, and other cross-functional partners to architect tools and services that accelerate our AI capabilities.
  • On a typical day, you will architect, implement, and maintain backend services and APIs for AI-driven products and features.
  • You will build scalable infrastructure to support large-scale training, deployment, and monitoring of machine learning models.
  • You will integrate third-party AI/ML solutions where appropriate and optimize system performance.
  • You will implement security, compliance, and data privacy best practices for AI workflows.
  • You will collaborate cross-functionally with ML engineers and data scientists to enable seamless model deployment and management.
  • You will develop testing frameworks and monitoring tools to ensure system reliability and observability.
  • You will participate in technical design reviews and provide input on best practices and emerging technologies.
  • You will debug production issues across services and multiple levels of the stack.

Requirements:

  • Professional experience (typically 5+ years) as a backend engineer or in a similar software engineering role, ideally supporting data or ML systems.
  • Hands-on experience building distributed systems, GraphQL and RESTful APIs, and/or microservices architectures.
  • Strong proficiency in at least one backend programming language (such as Python, Go, Java, or Scala).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Familiarity with storage solutions relevant for AI (e.g., PostgreSQL, MongoDB, Redis, object storage, data lakes).
  • Knowledge of security, privacy, and compliance principles in distributed/cloud environments.
  • Comfortable with CI/CD pipelines, version control systems (Git), and infrastructure-as-code.

Benefits:

  • This role provides a unique opportunity to shape foundational services that power the next generation of AI-enabled solutions.
  • If you thrive in a fast-paced team and are excited by solving complex technical problems in the AI space, we want to hear from you!
  • All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits.
  • The expected annual base salary for this role varies by location, with Tier 1 salaries ranging from $148,800 to $223,200 USD, Tier 2 salaries from $136,400 to $204,600 USD, and Tier 3 salaries from $124,000 to $186,000 USD.