Senior AI Engineers

Inherent Technologies; Hoboken (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

Inherent Technologies in Hoboken, NJ is seeking Senior AI Engineers to design and build agent-assisted development workflows and scalable architecture for AI-augmented engineering. You will work across Java microservices, Node.js services, React UI, and Python tooling to enable safe agent-driven changes and robust MCP integrations.

The role emphasizes hands-on experience with Claude Code, MCP, and secure workflow automation, with a focus on test-driven development, observability, and scalable

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) as a core practice, not an afterthought.
• Playwright for end-to-end testing.
• Contract testing (e.g., Pact) across microservice boundaries.

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

Skills

Claude Code

MCP servers

Context engineering

Prompt injection security

Java microservices

REST API design

Node.js

Python tooling

ReactJS

MongoDB

Playwright

Pact (contract testing)

Tools

Claude Code tooling

Java

Node.js

Python

React

MongoDB

Job description

Duration: 1 Years

Agentic Development & AI-Augmented Engineering

• 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


• 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

Position: Senior AI Engineers

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

Duration: 1 Years

Agentic Development & AI-Augmented Engineering

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