Machine Learning Engineer (Generative AI)

TL;DR

Machine Learning Engineer (Generative AI): Building next-generation AI-powered workplace assistants with an accent on agentic frameworks and LLM integration. Focus on developing scalable agentic workflows, optimizing NLP models, and creating AI-driven collaborative solutions.

Location: Remote (Europe, Ukraine)

Company

hirify.global is a global IT solutions provider focusing on engineering excellence and innovative AI initiatives across diverse business domains.

What you will do

• Develop and integrate ML, NLP, and Generative AI models.
• Build and optimize agentic workflows using LangChain, LangGraph, or similar frameworks.
• Create LLM-powered solutions and prototype internal tools with Streamlit or Gradio.
• Collaborate with engineering and product teams to deliver AI-driven features.
• Manage development and runtime environments with Docker and cloud platforms (primarily Azure).
• Maintain clean, scalable code and analyze structured data using SQL.

Requirements

• 3+ years of commercial experience in software engineering or AI/ML development.
• Strong proficiency in Python and hands-on experience with Generative AI and LLMs.
• Experience with agentic AI frameworks such as LangChain or LangGraph.
• Solid understanding of ML/NLP fundamentals and experience with PyTorch or TensorFlow.
• Practical experience with Git, Docker, SQL, and cloud platforms.
• English: Upper-Intermediate level required.

Nice to have

• Experience building Retrieval-Augmented Generation (RAG) solutions.
• Experience with MLOps practices and model deployment.
• Confidence working in Linux terminal environments.

Culture & Benefits

• Fully remote work with a flexible schedule.
• Health and legal support.
• Access to an active professional community and continuous education.
• Exposure to a wide variety of technologies and business domains.
• Option to work from outstanding offices if preferred.