Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Developing and integrating ML and NLP models for an advanced AI assistant with an accent on semantic search, agentic AI, and state-of-the-art language models. Focus on building intelligent tools that truly collaborate with people and enhance internal operations through context-aware support.

Location: Remote from Europe or Ukraine

Company

hirify.global is building an advanced AI assistant to enhance internal operations through intelligent, context-aware support and personalized interactions.

What you will do

• 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 engineering and product teams to plan and deliver ML-driven features.
• Manage development and runtime environments using Docker and Git.
• Contribute to model deployment and operations in a cloud environment, primarily Azure.

Requirements

• 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.
• Knowledge of engineering best practices: Git, Docker, cloud basics, and task estimation.
• Practical knowledge of SQL.
• English: Upper-Intermediate (B2) level required.

Nice to have

• Experience with other agentic or LLM orchestration tools.
• Experience with MLOps or model deployment.
• Comfortable working in Linux terminal environments.

Culture & Benefits

• Flexible schedule and remote work.
• Health & Legal support.
• Active professional community and continuous education.
• Diversity of domains and technologies.
• Outstanding offices available.
• Sports and community activities.