Description
& Requirements
Who we are looking for 5+ years Python (complex backend & AI projects) Expertise in LangChain, LangGraph, AutoGen, CrewAI, or similar agentic AI frameworksHands-on experience with LLMs (OpenAI, Anthropic Claude, Google Gemini), multi-agent systems, RAG architectures, vector databases (Pinecone, Weaviate, etc.)Proven delivery of production AI systems, CI/CD, cloud (AWS, Azure, GCP)Strong mentoring/leadership skills, excellent English (B2+)
Nice to have:
MLOps/AgentOps (MLflow, LangFuse), async/distributed, Docker, Kubernetes Enterprise API integrations, open-source contributions
Your future role Architect and develop enterprise-grade multi-agent AI solutions Technology selection, code & architecture review, standard setting Integrate LLMs, RAG, orchestration, and APIs Mentor team members, share knowledge, provide pre-sales technical expertise Present solutions to clients, optimize systems, and contribute to R&D
What we offer Cutting-edge AI projects for top international clients Premium access to AI/ML tools and learning budget Flexible remote work, global and diverse team Health insurance, well-being support, transparent career track: Senior → Lead → Principal/Architect