AI Engineer

Technologies we use

About the project

Your responsibilities

• Design and implement stateful, multi-agent architectures using LangGraph
• Build and maintain robust data pipelines and chains using LangChain primitives
• Develop full stack applications (frontend & backend) enabling interaction with AI agents
• Integrate LLMs with external tools, APIs, vector databases, and enterprise systems
• Optimize agent performance, context handling, and output quality (including evals in LangSmith)
• Manage automated deployments and cloud infrastructure for AI-based services
• Collaborate with international teams to translate business logic into scalable AI workflows

Our requirements

• Strong proficiency in Python or TypeScript with a full-stack mindset, including experience with modern backend frameworks and frontend development (React/Next.js)
• 3+ years of experience in full stack software development
• Hands-on experience building AI Agents and multi-agent systems using LangChain and LangGraph, as well as production-grade LLM applications
• Ability to integrate LLMs with external APIs, tools, and vector databases, and to design scalable AI workflows based on complex business logic
• Understanding of cloud environments and containerization (AWS/Azure/GCP, Docker/Kubernetes) is a strong advantage
• Excellent English (min. C1)

What we offer

• We focus on long- term relationships based on fair principles and reliability
• Co-financing of the Multisport card and Medicover private healthcare
• Modern office available
• Team bonding activities, internal courses, conferences, certifications

Benefits