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.