Role: Senior AI Agentic Engineer
Location: Hoboken, NJ - Onsite
Contract: 6+ Months with Possible Extension
Experience: 15+ years
Mandatory Skills: Agentic Development & AI-Augmented Engineering, Hands-on experience with Claude Code
Job Description:
Role Summary
-Full Stack Developer People should build Application using AI Claude Code.
-Profiles should be AI Augmented Development skillset heavily using Clause Code, GitHub copilot, cursor tools for code development.
-Full Stack Developers with proficiency using AI Tools for Development. With Java Microservices and react.
Key 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
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