AI Engineers

Position:
Senior AI Engineers

Location:
Hoboken, NJ
* Onsite *

Duration: 1 Years

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

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 microfront end 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/microfront end 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

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

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.

ReactJS, headless component architecture, and microfront end design patterns

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