Note: The job is a remote job and is open to candidates in USA. Yochana is seeking a Senior Agentic AI Engineer to shape how engineering teams use AI agents to build simulation software. The role combines agentic AI workflow design and evaluation with architecture and hands-on full-stack development, as well as creating AI-focused learning content and assessments.
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 micro frontend 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/micro frontend UI, and Python tooling
- 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: o Multiple Choice Questions (MCQs) o Scenario-based questions o Coding exercises o Capstone projects o 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
- 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
Skills
- Deep fluency in "loop engineering" with tools like Claude Code
- Understand the full agentic software development lifecycle, from context design through evaluation, deployment, and observability
- A hands-on expert across our core stack
- React/WebGL.js/3.js technologies
- Java Spring boot
- Generative AI
- Claude (Anthropic), OpenAI, Azure OpenAI
- Prompt Engineering
- AI Agent Development
- RAG Architecture
- Vector Databases
- LLM Evaluation & Testing
- MCP and Tool Integrations
- JavaScript / TypeScript
- Node.js
- React.js
- Python
- REST APIs
- JSON
- LangChain
- LangGraph
- PostgreSQL
- MongoDB
- Redis
- Vector Databases
- HTML5
- CSS3
- Material UI / Bootstrap
- Responsive Design
- Express.js
- Microservices Architecture
- Authentication & Authorization
- Preferred from NJ, PA, CT or Near By states
- 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
- 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
Benefits
- Remote work, with travel required on an as-needed basis.
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