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AI Engineers � Agentic Development

  • Source: LinkedIn
  • AppLab Systems, Inc
  • Remote
  • Hoboken
  • Mid level

Job Description

JOB DETAIL Job Title AI Engineers Agentic Development Job Location USA (Remote) Job Duration 6+ Months Contract Employment Type W-2 Only Job Summary We are seeking highly skilled AI Engineers who can define and scale how engineering teams build simulation software using AI agents.

The ideal candidates should have deep expertise in Agentic AI development and “loop engineering “ using tools such as Claude Code. They should be capable of designing feedback loops, guardrails, and workflows that enable AI agents to safely contribute to production codebases.

The role involves the complete agentic software development lifecycle, including context design, evaluation, deployment, and observability, along with hands-on development across Java, Spring Boot, Node.js, React, Python, and modern frontend technologies.

Key Responsibilities 2. Learning Content & Assessment Development 3. Full Stack Development Required Technical Skills

  • AI & Generative AI Development
  • Design and implement loop engineering workflows using Claude Code and similar AI tools.
  • Define how AI agents plan, execute, test, and iterate on code changes.
  • Architect Model Context Protocol (MCP) servers and tool schemas that are safe and easy for LLM agents to use.
  • Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies.
  • Build evaluation frameworks and observability practices to measure agent output quality and identify regressions.
  • Design and review microservice and microfrontend architectures using C4 diagrams and Domain-Driven Design (DDD).
  • Drive test-driven development and contract testing practices.
  • Own technical decisions across Java microservices, Node.js services, React/microfrontend UI, and Python tooling.
  • Design and develop hands-on lab activities, practical exercises, guided projects, and simulations.
  • Create technical learning content covering AI, cloud, software engineering, and emerging technologies.
  • Develop assessments, including:

  • Multiple Choice Questions (MCQs)
  • Scenario-based questions
  • Coding exercises
  • Capstone projects
  • Knowledge checks

  • Use Claude and other AI tools to generate, review, and improve educational content.
  • Align learning content with learning objectives, competency frameworks, and certification standards.
  • Develop responsive web applications using React.js.
  • Build backend services and APIs using Node.js and Express.js.
  • Develop backend applications and microservices using Java and Spring Boot.
  • Work with React, WebGL.js, and Three.js technologies.
  • 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.

Generative AI & Agentic Development

  • Claude (Anthropic), OpenAI, Azure OpenAI
  • Prompt Engineering
  • AI Agent Development
  • Agentic AI and Multi-Agent Solutions
  • RAG Architecture
  • Vector Databases
  • LLM Evaluation and Testing
  • Model Context Protocol (MCP)
  • Tool Integrations
  • Claude Code and Loop Engineering

Programming & Backend Development

  • JavaScript / TypeScript
  • Node.js
  • Express.js
  • Java
  • Spring Boot
  • Python
  • REST APIs
  • JSON
  • Microservices Architecture
  • Authentication and Authorization

AI Frameworks & Libraries

  • LangChain
  • LangGraph

Frontend Development

  • React.js
  • WebGL.js
  • Three.js
  • HTML5
  • CSS3
  • Material UI / Bootstrap
  • Responsive Design
  • Microfrontend Architecture

Databases

  • PostgreSQL
  • MongoDB
  • Redis
  • Vector Databases

Preferred Qualifications

  • Experience creating technical learning content, hands-on labs, or certification preparation materials.
  • Experience with AI-based assessment generation and automated evaluation systems.
  • Experience building Agentic AI and multi-agent solutions.
  • Experience working with educational technology platforms.
  • Experience with simulation software and interactive web technologies.

Education & Experience

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

Important note: The candidate should have a 9+ years of experience and should be a US citizen or Green card holder. Please share the updated resume : [email protected]

Skills

  • claude-code
  • guardrails
  • Java
  • spring
  • spring-boot
  • NodeJS
  • React
  • Python
  • create-lms
  • WebGL
  • three-js
  • claude-by-anthropic
  • openai
  • microsoft-azure
  • javascript
  • TypeScript
  • microsoft-typescript
  • JSON
  • LangChain
  • LangGraph
  • HTML5
  • css-3
  • Material-UI
  • Bootstrap
  • PostgreSQL
  • MongoDB
  • Redis

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This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with AppLab Systems, Inc

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