Role Description

We are looking for a Full-Stack Engineer (AI-First) who will help build the MVP and shape the technical foundation of the product. The role combines full-stack development with AI-driven workflows. The engineer will design and implement core product functionality, integrate LLM-based capabilities, and orchestrate AI-driven pipelines. The position requires a high level of ownership and comfort working in a fast-paced startup environment.

• Design and develop core product functionality for an AI-powered platform with autonomous agents
• Build and improve the agent runtime that allows AI agents to execute tasks, interact with tools, and run in isolated environments
• Develop chat-based and conversational interfaces that enable users to interact naturally with their AI agents
• Implement and evolve the memory system that allows agents to learn from conversations and store long-term context
• Design and build APIs and backend services powering agents, integrations, and real-time features
• Work with vector databases and RAG pipelines to support intelligent retrieval and context building
• Build real-time experiences (streaming responses, live updates) for interactive agent execution
• Participate in building the multi-agent orchestration layer, enabling collaboration between multiple AI agents
• Contribute to the AI tool ecosystem, integrating external services and building extensible agent skills
• Collaborate with product, design, and engineering teams to iterate quickly and deliver new features

Qualifications

• 3+ years of experience with JavaScript / TypeScript
• Strong experience with React (React 18+)
• Experience building applications with Server-Side Rendering (SSR)
• Experience developing REST APIs
• Experience integrating LLM APIs (OpenAI, Anthropic, or similar)
• Experience building or working with AI agents / agentic systems
• Experience with modern backend development in Node.js
• Experience working with databases (experience with SurrealDB or similar NoSQL databases is a plus)
• Experience with Redis or streaming systems (e.g., Redis Streams)
• Understanding of Docker and containerized environments
• Experience with Git-based workflows and CI/CD pipelines
• Understanding of basic security principles in web applications
• Ability to work in an AI-powered development workflow (using modern AI tools in development)
• Experience with Agentic AI Development
• Experience with Own Agent Building

Requirements

• Experience working with multi-agent systems (agent orchestration, task delegation, agent-to-agent communication)
• Experience building RAG pipelines and working with vector databases (pgvector, Pinecone, Weaviate, SurrealDB vector)
• Experience integrating MCP (Model Context Protocol) servers or building extensible agent tools
• Experience with real-time communication (Server-Sent Events, WebSockets, Redis Pub/Sub)
• Experience with browser automation tools such as Playwright or Puppeteer
• Experience deploying applications in container-based cloud environments (Railway or similar platforms)
• Experience building modern UI systems using Tailwind and component libraries (e.g., shadcn/ui)

Benefits

• Friendly & open team who have fun creating cool projects together
• Opportunity to boost your professional & personal growth
• Regular team gathering activities
• 20 business days of paid vacation + UA national holidays
• Medical insurance full coverage
• 10 + 5 days paid sick leave

Hiring Process

• Recruiter interview (40 min)
• Technical interview
• Final interview with PO and CTO