AI Engineers

Inherent Technologies; Hoboken (NJ); On-site; USD 150,000 - 180,000; Full time

Job summary

Inherent Technologies in Hoboken, NJ is seeking a Senior AI Engineer to lead agentic development across Java microservices, Node.js services, React UI, and Python tooling. You will design safe MCP architectures and RESTful interfaces for both humans and AI agents, while shaping CI/CD for agent-driven workflows.

You’ll mentor senior engineers, set security boundaries for prompts and tool access, and craft RFCs translating complex problems into actionable plans for both teams and agents.

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.

Responsibilities

• Design and implement 'loop engineering' workflows using Claude Code and similar tools, defining agent planning and iteration.
• Architect MCP servers and tool schemas that are safe and legible for LLM agents.
• Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies for agent-driven changes.
• Build evaluation harnesses and observability to measure agent output quality and catch regressions.
• Design and review microservice/microfrontend architecture using C4 diagrams and DDD principles.
• Drive TDD, including contract testing between services, and ensure CI/CD supports agent-authored PRs.
• Own decisions across Java microservices, Node.js, React/microfrontend, and Python tooling.
• Design REST APIs and headless components for both humans and agents, with secure boundaries.
• Establish security practices for agentic workflows (prompt injection, tool permissions).
• Mentor senior and staff engineers on agent-assisted development and write RFCs/docs.

Skills

Claude Code

MCP Protocol

Context engineering

Prompt injection risk

Java Microservices

REST API design

Node.js

Python

ReactJS

Playwright

Pact testing

TDD

Tools

Pact

Job description

Duration: 1 Years

Position: Senior AI Engineers

Location: Hoboken, NJ***Onsite***

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