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
Numbers & Facts
Location
Hoboken, NJ
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Cachingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Database Designunmatched
Documentation Modelsunmatched
Information Architectureunmatched
Injectionsunmatched
Javaunmatched
MCP - Microsoft Certified Professionalunmatched
Machine Toolunmatched
Mentoringunmatched
Microservicesunmatched
MongoDBunmatched
Node.jsunmatched
Process Improvementunmatched
Python Programming/Scripting Languageunmatched
Quality Metricsunmatched
REST (Representational State Transfer)unmatched
React.jsunmatched
Riskunmatched
Technical Writingunmatched
Test Driven Development (TDD)unmatched
Testingunmatched
User Interface Toolsunmatched
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