T
AI Engineer: Agentic Dev & Scalable Backend Architect
TechDigital Group
5 hours ago
Full-time
On-site
Hoboken, New Jersey, United States
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr