Company Description

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’re building an advanced AI assistant to help teams work smarter. By combining semantic search, agentic AI, and state-of-the-art language models, the system enhances internal operations through intelligent, context-aware support and personalized interactions. 
This isn’t just a chatbot — it’s a system that understands, adapts to, and collaborates with humans.

Job Description

• Develop and integrate ML and NLP models to power intelligent assistant features 

• Build agentic workflows using LangChain, LangGraph, or similar frameworks 

• Prototype user interfaces and internal tools using Streamlit or Gradio 

• Collaborate with the engineering and product teams to plan and deliver ML-driven features 

• Work with Docker to manage development and runtime environments 

• Use Git for version control and write clean, maintainable code 

• Query structured data using SQL 

• Contribute to model deployment and operations in a cloud environment (primarily Azure)

Qualifications

• Strong proficiency in Python 

• Experience with agentic AI frameworks such as LangChain or LangGraph 

• Solid understanding of machine learning and NLP fundamentals 

• Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) 

• Familiarity with prototyping tools such as Streamlit or Gradio 

• Experience of engineering best practices: Git, Docker, cloud basics, and task estimation 

• Working knowledge of SQL 

• Upper-Intermediate level of English (both written and spoken) 

WOULD BE A PLUS 

• Experience with other agentic or LLM orchestration tools 

• Experience with MLOps or model deployment 

• Comfortable working in Linux terminal environments