We’re looking for a Machine Learning Engineer to join our team!
If you’re excited about applied AI, agentic systems, and want to build intelligent tools that truly collaborate with people — we’d love to welcome you on board. Join us and help shape the future of AI-powered workplace assistants.
We are developing an AI-powered internal assistant framework that enables intelligent, context-aware interactions across organizational environments. The system is designed to enhance how users access, understand, and act on complex project information by leveraging semantic search, agentic AI, LLM/LMM models, and MCP (Multi-Context Protocol).
This assistant framework will serve as a foundation for building task-specific agents capable of integrating with various enterprise tools and knowledge sources. It is aimed at supporting day-to-day operations, minimizing cognitive overload, and improving information retrieval across technical and management roles, by unifying fragmented knowledge and workflows into a seamless, AI-driven interface. We’re building a system that doesn’t just respond — it understands, adapts, and collaborates.
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