Senior Generative AI Engineer (LLMs)

TL;DR

Senior Generative AI Engineer (LLMs): Building and optimizing cutting-edge AI and ML technology solutions with an accent on LLMs in production, RAG architecture, and agentic systems. Focus on creating and improving ML models, setting up reproducible experimentation environments, and monitoring performance in production.

Location: Remote from Serbia, Spain, Poland, or Armenia

Company

hirify.global specializes in AI and ML technologies, cloud services, and data engineering, focusing on building cutting-edge technology solutions.

What you will do

• Create and improve existing ML models.
• Collaborate with engineering, data scientists, and product managers on production models.
• Develop and maintain experimentation roadmaps and pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI, proposing innovative solutions.

Requirements

• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems.
• Practical experience with solving classification and regression tasks, feature engineering, and ML models in production.
• Solid software engineering skills (ability to produce well-structured modules).
• Python expertise, Docker.
• Experience with data pipelines.
• English: strong Intermediate (B2) required.

Nice to have

• AWS Bedrock experience.
• Practical experience with cloud platforms (AWS stack preferred: Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.

Culture & Benefits

• Long-term B2B collaboration.
• Fully remote setup.
• Comprehensive private medical insurance or budget for your medical needs.
• Paid sick leave, vacation, and public holidays.
• Continuous learning support, including unlimited AWS certification sponsorship.