[Hiring] Senior AI Full Stack Engineer @Cynet Systems

Role Description

We are seeking a highly skilled AI Engineer to define and scale how the engineering organization builds simulation software with AI agents. This role requires deep fluency in loop engineering using tools like Claude Code to design feedback loops, guardrails, and workflows that allow AI agents to safely and effectively contribute to production codebases. The candidate will manage the full agentic software development lifecycle, from context design through evaluation, deployment, and observability, while serving as a hands-on expert across the core stack.

Key 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 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 for AI, cloud, software engineering, and emerging technologies.
• Develop assessment questions including MCQs, scenario-based questions, coding exercises, capstone projects, and 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.

Qualifications

• 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: LangChain, 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 a related field.
• 7+ years of software development experience.
• 2+ years of Generative AI / LLM application development experience.