AI Engineers

Inherent Technologies; Hoboken (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Inherent Technologies in Hoboken, NJ is seeking Senior AI Engineers to design agentic workflows and robust MCP infrastructure for safe, scalable operations. The onsite role emphasizes collaboration between human developers and AI agents to plan, test, and iterate on code changes.

You will drive architecture across Java microservices, Node.js tooling, Python automation, and React-based microfrontends while enforcing TDD, contract testing with Pact, and strong security practices.

Qualifications

• 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 microfrontend design patterns.
• Test-driven development (TDD).
• Playwright for end-to-end testing.
• Contract testing (Pact) across microservice boundaries.

Responsibilities

• Design and implement 'loop engineering' workflows using Claude Code and similar tools, defining agent planning and iteration.
• Architect MCP servers and tool schemas legible for LLM agents.
• Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies.
• Build evaluation harnesses and observability to measure agent output quality.
• Design and review microservice/microfrontend architecture using C4 diagrams and DDD.
• Drive TDD practices and contract testing across teams.
• Own technical decisions across Java microservices, Node.js services, React/microfrontend UI, and Python tooling.
• Design REST APIs and headless component architectures for humans and agents.
• Establish CI/CD practices for agent-authored pull requests.
• Set security practices for agentic workflows and prompt boundaries.
• Mentor senior and staff engineers on agent-assisted development.
• Write RFCs and design docs translating problems into actionable plans.

Skills

Claude Code

MCP Building

Context engineering

Prompt security

TDD

Mentoring

Tools

Java

Node.js

Python

React

REST APIs

MongoDB

Pact

Playwright

Job description

Position: Senior AI Engineers

Location: Hoboken, NJ *Onsite *

Duration: 1 Years

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

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