AI Focused Full Stack Developer

Centrical provides an employee-centric success platform that holistically navigates employees, turn-by-turn, to success. Using actionable KPIs, deep gamification, personalized microlearning, collaboration tools, and augmented coaching, Our Story

Centrical grew out of the business intelligence (BI) software segment. BI let managers know how employees were doing, but it typically did not convey how to turn manager-led performance insights into employee performance actions.

Since employees were the ones doing the work, Centrical’s vision was to place them at the center of the process. To share with them insights about their work, to help them improve, be more focused, get better at what they do, as well as make it fun. Along with that, Centrical empowers managers to enable their team members to be more successful with AI-powered, closed-loop coaching that triggers personalized activities that impact individual employee performance and real-time performance visibility. That makes for better coaches and better-performing employees.

Centrical, founded in 2013, is convinced that employees are the center of business success. We operate from offices in New York City and Israel. And are proud to have an expanding list of enterprise businesses as customers, including Microsoft, Teleperformance, Synchrony Financial, Webhelp, and Swiss Life, among others.

We’re looking for a Full Stack Developer with a passion for AI to join our R&D team. You’ll work across the entire stack—from Angular frontends and .NET backends to AI-powered features built on large language models—designing and shipping capabilities that directly impact hundreds of thousands of users.

This isn’t a role where AI is a buzzword. At Centrical, AI is core to the product: we build LLM-based coaching systems, real-time voice simulations, intelligent KPI analytics, and AI-assisted performance reviews. You’ll be hands-on with prompt engineering, LLM orchestration frameworks, and integrating AI into production-grade enterprise SaaS.

Responsibilities

• Design, develop, and maintain full stack features end-to-end—from frontend UI (Angular) through backend services (.NET / Node.js) to database and infrastructure.
• Build and iterate on AI-powered product capabilities, including LLM-based coaching, conversation simulations, and intelligent analytics.
• Work with LLM orchestration frameworks (e.g., LangGraph, LangChain) and cloud AI services (AWS Bedrock, OpenAI, Anthropic) to design reliable, production-ready AI pipelines.
• Collaborate closely with product managers, designers, and backend engineers to translate requirements into high-quality, scalable solutions.
• Design and develop responsive, performant frontend experiences using Angular, TypeScript, and modern component libraries.
• Own the quality of your work—write tests, conduct code reviews, and continuously improve the codebase.
• Evaluate and integrate new technologies, tools, and architectural patterns to keep our stack modern and efficient.
• Troubleshoot and resolve complex technical issues across the full stack, including performance bottlenecks and integration challenges
  
  

• B.Sc. in Computer Science or equivalent experience (IDF technological units, coding bootcamps, etc.).
• 7+ years of professional software development experience.
• Strong proficiency in at least one modern frontend framework – Angular strongly preferred, React also relevant.
• Solid backend experience with .NET (C#) or Node.js (TypeScript).
• Proficiency in TypeScript, HTML, CSS, and modern JavaScript.
• Experience with RESTful APIs, relational databases (SQL Server), and cloud services (AWS).
• Genuine interest in AI/ML and hands-on experience—or strong motivation to learn—working with LLMs, prompt engineering, or AI-integrated applications.
• Strong problem-solving skills, a product-oriented mindset, and the ability to own features from concept to production.
• Excellent communication skills and the ability to collaborate effectively in a cross-functional team.
  
  

• Hands-on experience with LLM orchestration tools (LangGraph, LangChain) or AI agent frameworks.
• Familiarity with real-time communication technologies (WebSockets, Socket.IO).
• Experience building or maintaining scalable SaaS applications in an enterprise context.
• Knowledge of CI/CD pipelines (GitHub Actions), containerization (Docker, ECS), and infrastructure as code.
• Experience designing and maintaining large-scale Nx monorepos, including module boundaries, shared libraries, and build optimization
• Experience with component libraries (PrimeNG, Kendo, Angular Material), visual testing tools (Storybook, Chromatic), or E2E testing frameworks (Playwright).
• Familiarity with Agile/Scrum methodologies.