Senior AI Engineer

We’re looking for a Senior AI Engineer with hands-on experience in building LLM-powered applications, RAG systems and agent-based workflows, operating such systems in production

This role is for someone who can independently take a business problem, design an AI-driven solution, and ship it into production

What You’ll Do

• Design and build LLM-powered applications and AI-driven product features end-to-end
• Develop and maintain RAG pipelines, vector search systems, and knowledge bases
• Build AI Agents and multi-agent workflows for complex task execution
• Architect prompt systems and interaction logic that are stable and predictable in production
• Integrate AI systems with external platforms and internal product surfaces via APIs
• Deploy and operate AI solutions in production environments 
• Work directly with stakeholders to translate business needs into technical AI solutions

Requirements

• 2+ years of experience building LLM-powered applications and AI systems
• Strong Python skills and solid software engineering fundamentals
• Hands-on experience with major LLMs: OpenAI, Anthropic Claude, Gemini
• Proven experience building RAG systems (LangChain, LlamaIndex, LangGraph)
• Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector)
• Experience with AI Agents and agentic workflow architecture
• FastAPI or similar Python backend experience
• Experience deploying and operating AI systems in production
• Ability to work autonomously from task clarification to production deployment
• English level B2+

Would Be a Plus

• Google Cloud Platform / Vertex AI experience
• Experience with workflow automation tools (n8n, Make, Zapier)
• Experience building AI chatbots and Telegram bots
• Familiarity with Model Context Protocol (MCP)
• Experience with document processing and extraction systems

Why Join Us

• Build production-grade AI systems for real users, not just prototypes
• Work across the full AI stack - from prompt architecture to deployed pipelines
• Deliver solutions for international clients across the US, Canada, and UK
• Flexible remote work format approved by PM
• 20 paid vacation days and 5 paid sick days for full-time position

We hire for an engineering mindset and ownership. If you’re ready to go beyond demos and build best-in-class AI systems in production - we’d love to hear from you