AI Engineer

Talentify; New Jersey; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Diverse Lynx LLC in New Jersey seeks an AI Engineer to define and scale how our engineering org builds simulation software with AI agents. This role centers on loop engineering, guardrails, and workflows for safe, production-grade AI contributions across the stack.

You will own Java microservices, Node.js services, React UI, and Python tooling, architect MCP servers, develop learning content, and drive observable, tested systems with strong emphasis on automation and evaluation.

Qualifications

• Experience building AI-powered software in an engineering org.
• Ability to design loop engineering workflows with guardrails.
• Experience integrating AI services into web apps and APIs.

Responsibilities

• Design loop engineering workflows using Claude Code and similar tools.
• Architect MCP servers and tool schemas for safety and usability by LLM agents.
• Define human-in-the-loop checkpoints and rollback strategies.
• Build evaluation harnesses and observability practices for AI outputs.
• Oversee Java, Node.js, React, and Python components across services.
• Develop responsive web apps with React and secure REST APIs.

Skills

Claude

OpenAI

Azure OpenAI

Prompt Engineering

AI Agent Development

RAG Architecture

Vector Databases

LLM Evaluation

MCP & Tool Integrations

JavaScript/TypeScript

Node.js

React.js

Python

REST APIs

JSON AI Frameworks

PostgreSQL

MongoDB

Redis

HTML5

CSS3

Material UI

Express.js

Microservices Architecture

Authentication & Authorization

Education

Bachelor's or Master's in Computer Science / IT / AI/ML

Tools

LangGraph Databases

Docker

React.js

Job description

About this job

Job Summary: We are seeking a highly skilled AI Engineer who can define and scale how our engineering organization builds simulation software with AI agents. This role requires deep fluency in "loop engineering" with tools like Claude Code: designing the feedback loops, guardrails, and workflows that let AI agents safely and effectively contribute to production codebases. You'll need to understand the full agentic software development lifecycle, from context design through evaluation, deployment, and observability, while also being a hands‑on expert across our core stack. Key

Responsibilities: AI & Generative AI Development

• 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

Full Stack Development

• Develop responsive web applications using React.js.
• Build backend services and APIs using Node.js and Express.js.
• Integrate AI services and LLM APIs into web applications.
• Design and implement secure RESTful APIs and microservices.
• Develop dashboards for content management, assessment reporting, and learner analytics.

Learning Content & Assessment Development

• Design and develop hands‑on lab activities, practical exercises, guided projects, and simulations.
• Create technical learning content for AI, cloud, software engineering, and emerging technologies.
• Develop assessment questions including: Multiple Choice Questions (MCQs), Scenario-based questions, Coding exercises, Capstone projects, Knowledge checks.
• Utilize Claude and other AI tools to generate, review, and improve educational content.
• Align content with learning objectives, competency frameworks, and certification standards.

Required Skills: Generative AI

• Claude (Anthropic), OpenAI, Azure OpenAI
• Prompt Engineering
• AI Agent Development
• RAG Architecture
• Vector Databases
• LLM Evaluation & Testing
• MCP and Tool Integrations Programming
• JavaScript / TypeScript
• Node.js
• React.js
• Python
• REST APIs
• JSON AI Frameworks & Libraries
• LanEligible to workhain
• LangGraph Databases
• PostgreSQL
• MongoDB
• Redis
• Vector Databases Front-End Development
• React.js
• HTML5
• CSS3
• Material UI / Bootstrap
• Responsive Design Backend Development
• Node.js
• Express.js
• Microservices Architecture
• Authentication & Authorization

Preferred Qualifications:

• Experience creating learning content, labs, or certification preparation material.
• Experience with AI-based assessment generation and automated evaluation systems.
• Experience building Agentic AI and multi-agent solutions.
• Experience working with educational technology platforms.

Education & Experience:

• Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or related field.
• 7+ years of software development experience.
• 2+ years of Generative AI / LLM application development experience.

Disclaimer:

Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.

Security Notice:

Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC.