About this role

Senior AI Engineers - Agentic Development & AI-Augmented Engineering- Hoboken, NJ Onsite

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

Frontend

Testing & Quality

Qualification

Bachelor of Technology/ Engineering

AI Agentic Engineer

Key skills