Brilliant Agent-posted 17 days ago
$80 - $100/Yr
Full-time • Principal
Hybrid • Saint Louis, MO
101-250 employees

A large enterprise organization is seeking a Principal Engineer to lead the transformation of its software development lifecycle by building an AI-enabled engineering platform centered on context engineering and advanced code-assist agents. This role is the single-threaded owner responsible for orchestrating, extending, and operationalizing tools like GitHub Copilot, Gemini, Cursor, and similar agentic systems. The goal is to create a highly leveraged engineering environment where AI agents autonomously assist with code generation, testing, incident response, documentation, and workflow execution within a secure, observable, and well-structured operating model. This position requires in-office presence three days per week (Tuesday-Thursday) and does not offer immigration sponsorship.

  • Define the strategic roadmap for the internal AI engineering platform, treating code-assist agents as first-class products.
  • Architect systems for AI agent invocation, context retrieval, and action execution through custom tools and APIs.
  • Manage and extend a Model Context Protocol (MCP)-aligned toolset to enable agent interactions with internal and third-party systems.
  • Engineer scalable context pipelines that shape agent behavior through centralized, version-controlled custom instructions and connectors.
  • Design, test, and optimize prompts, contextual data frameworks, and agent guidance to improve accuracy, efficiency, and reliability.
  • Define and monitor KPIs for agentic system performance and implement a comprehensive observability stack.
  • Establish platform security, including safeguards for custom tools and APIs, and implement human-in-the-loop guardrails for critical actions.
  • Define and enforce code-driven RBAC and least-privilege controls for all agent-invoked actions.
  • Demonstrate expertise in cloud-native, distributed microservices architectures.
  • Deliver software solutions aligned with standard SDLC practices.
  • Build strong relationships with internal stakeholders across product, business, engineering, and operations.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Build and manage high-performing engineering teams that deliver scalable, reliable systems.
  • Lead troubleshooting efforts for production and customer issues under pressure.
  • Leverage full-stack development skills and extensive experience with public cloud environments.
  • Mentor and coach junior engineers and contribute to talent development.
  • Drive a data-driven engineering culture with a focus on efficiency and optimization.
  • Ensure adherence to secure software development best practices and maintain engineering KPIs across quality, security, and cost.
  • Define and report SLAs, SLOs, and SLIs in partnership with product and architecture teams.
  • Collaborate with architects, SRE leaders, and other technical stakeholders to shape long-term technical direction.
  • Maintain up-to-date technical documentation and runbooks.
  • Make architecture decisions related to new features, refactoring, and end-of-life transitions.
  • Create and deliver technical presentations to a range of audiences.
  • Bachelor's degree in Computer Science or equivalent experience.
  • 7+ years of hands-on software engineering experience.
  • 7+ years of experience with Java, Spring Boot, TypeScript/JavaScript, HTML, and CSS.
  • 7+ years designing and developing cloud-native solutions.
  • 7+ years building microservices using Java, Spring Boot, cloud SDKs, and Kubernetes.
  • 3+ years of experience with advanced code-assist tools, ideally at an expert level.
  • 3-5+ years building or architecting intelligent agent systems integrated with LLMs.
  • Hands-on experience with CI/CD pipelines, GitHub Actions, Jenkins, infrastructure-as-code, Helm, and Terraform.
  • Deep expertise across the GitHub ecosystem, including Actions, Apps, webhooks, and APIs.
  • Senior-level proficiency in Python, Go, or Node.js.
  • Strong experience designing and consuming RESTful APIs and integrating complex SaaS systems.
  • Familiarity with the Model Context Protocol (MCP) and experience creating MCP-aligned services.
  • Extensive experience with cloud platforms and Kubernetes.
  • Strong systems-thinking ability across the entire SDLC.
  • Experience with event-driven architectures, especially those triggered by GitHub events.
  • Hands-on experience building LLM-integrated applications.
  • Expertise in building tools, APIs, and function-calling interfaces for AI agents.
  • Practical experience designing or optimizing RAG systems.
  • Ability to orchestrate workflows around existing code-assist agents.
  • Healthcare
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