8 жовт. · GROUP 107 · Аутсорс
Понад 7 днів вакансія не з’являлася у видачі джерела — можливо, її вже закрито
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Відкрити на DjinniProject overview: Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects. We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows. You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.
Requirements: 1+ year of hands-on software development experience (commercial or substantial personal projects) Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent Working knowledge of at least one: TypeScript/JavaScript or Python Experience deploying web applications (Vercel, Netlify, or similar) Understanding of LLM fundamentals: prompting, context windows, token management, tool use Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly Git proficiency and basic CI/CD awareness Strong English communication (both written and spoken)
Nice to have: Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders Familiarity with MCP (Model Context Protocol) and agentic AI patterns Contributions to open-source AI tools or published AI-related content Experience with RAG pipelines, vector databases, or embeddings Backend experience with Node.js, Next.js, or FastAPI Understanding of DevOps basics: Docker, serverless functions, edge computing
Responsibilities: Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot) Develop and ship AI-powered features and full applications for client projects Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS) Create and manage AI agents, MCP servers, and tool-use pipelines Evaluate, benchmark, and select AI models and tools for specific use cases Document solutions, write technical specs, and contribute to the internal knowledge base
We offer: 20 vacation days (workdays) 7 sick days Personalized career growth Education reimbursement Corporate events and team buildings Equipment provided