Senior AI Agentic Engineer

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