Principal Software Engineer - AI

New
O
OnBoardSaaS / Board Management
Remote - US - Working EST Hours, ESTFull-TimePrincipal
Salary not disclosed
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Job Details

Experience
10+ years proven experience in SaaS development
Required Skills
C#.NET coreCI/CDRESTful APIsMicroservicesSaaSAzure DevOpsLLM

Requirements

  • Bachelor's Degree in software engineering, computer science, information technology, or commensurate experience.
  • 10+ years proven experience in SaaS development, primarily developing user-facing production features on a modern web stack.
  • 5-7 years' experience developing web applications with C# and .NET Core.
  • 5+ years' experience with RESTful design patterns and microservices architecture.
  • Experience with high-scale cloud mechanisms like event hubs, messaging systems, and data lakes.
  • 1+ years’ experience with AI-powered development tools (e.g., Claude, GitHub Copilot, Cursor).
  • Experience in AI/ML areas such as semantic search, vector databases, RAG frameworks, or LLM orchestration.
  • Experience working in high transaction, high security environments (SOC2, ISO27001 compliance).
  • Strong proficiency in CI/CD pipelines, git workflow, and Azure DevOps.
  • Mastery of agile development methodologies and DevOps practices.
  • Demonstrated technical leadership experience in software development projects.

Responsibilities

  • Lead the design, development, and implementation of complex software systems including semantic search, vector databases, RAG-based architectures, and LLM orchestration.
  • Translate business requirements into well-formed technical designs and execute them with the team.
  • Collaborate with cross-functional teams to define project goals, scope, and timelines.
  • Mentor and coach team members to foster professional growth and continuous learning.
  • Write reusable code, conduct code reviews, and enforce high coding standards.
  • Champion the adoption of AI-assisted development tools like GitHub Copilot and Claude Code.
  • Build golden pathways and developer experience tooling to scale engineering capability.
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