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TC

AI Engineers

TechDigital Corporation
๐Ÿ‡บ๐Ÿ‡ธ United States
On-site
1 month ago
  • AI
  • Claude Code
  • Model Context Protocol
  • MCP
  • Domain-Driven Design
  • Test-Driven Development
  • Contract Testing
  • Java
  • Microservices
  • Node.js
  • React.js
  • Python
  • REST API
  • CI/CD
  • Windows
  • System Design
  • MongoDB
  • TDD
  • Playwright
  • End-to-End Testing
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AI Engineers - Agentic Development & AI-Augmented Engineering

Responsibilities
  • Design and implement "loop engineering" workflows using Claude Code and similar tools, defining how agents plan, execute, test, and iterate on code changes
  • Architect Model Context Protocol (MCP) servers and tool schemas that are legible and safe for LLM agents to use
  • Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies for agent-driven changes
  • Build evaluation harnesses and observability practices to measure agent output quality and catch regressions
  • Design and review microservice and microfrontend architecture using C4 diagrams and Domain-Driven Design principles
  • Drive test-driven development practices across teams, including contract testing between services
  • Own technical decisions across our Java microservices, Node.js services, React/microfrontend UI, and Python tooling
  • Design REST APIs and headless component architectures that support both human developers and AI agents
  • Establish CI/CD practices that safely incorporate agent-authored pull requests
  • Set and enforce security practices for agentic workflows, including prompt injection risk and tool-permission boundaries
  • Mentor senior and staff engineers on effective agent-assisted development
  • Write RFCs and design docs that translate ambiguous problems into actionable technical plans, documents that both humans and agents can act on
Required Skills & Experience
Agentic Development
  • Hands-on experience with Claude Code or comparable agentic coding tools in production settings
  • Strong understanding of MCP (Model Context Protocol) building and consuming MCP servers
  • Context engineering: managing context windows, prompt caching, and information architecture for long-running agent sessions
  • Awareness of prompt injection and agent-specific security risks
Architecture & Backend
  • Deep experience with Java microservices
  • Strong REST API design skills
  • C4 model architecture documentation and system design
  • Domain-Driven Design principles
  • Node.js and Python for tooling, services, and automation
  • MongoDB schema design, performance, and scaling.
Frontend
  • ReactJS, headless component architecture, and microfrontend design patterns
Testing & Quality
  • Test-driven development (TDD) as a core practice, not an afterthought
  • Playwright for end-to-end testing
  • Contract testing (e.g., Pact) across microservice boundaries

AI Engineers ยท TechDigital Corporation

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