Senior AI Engineer

TL;DR

Senior AI Engineer (AI): Leading and advising on AI initiatives and designing tailored AI solutions for clients, with an accent on generative AI, LLMs, and MLOps practices. Focus on developing Proof of Concepts and Accelerator projects, ensuring alignment with company objectives and driving innovation.

Location: This role offers remote, onsite, and hybrid work options. Onsite/Hybrid options are available in Belgrade, Cluj-Napoca, Krakow, Larnaca, Lodz, Lublin, Monterrey, Montevideo, Riga, Rosario, Sofia, Tbilisi, Varna, Warsaw, and Wroclaw. Remote work is available from Argentina, Brazil, Bulgaria, Colombia, Georgia, and Poland.

Company

hirify.global is a global software engineering firm and a trusted technology partner specializing in designing and engineering data-driven, cloud-native AI solutions for market leaders.

What you will do

• Strategically lead and advise on AI initiatives, ensuring alignment with AI Lab and company objectives.
• Collaborate with client teams to assess business requirements and design tailored AI solutions integrating generative AI, LLMs, and MLOps.
• Present recommendations and proposals to current and prospective AI clients, showcasing innovative offerings.
• Lead and develop Proof of Concepts (POCs) and Accelerator projects using advanced cloud integration and generative AI technologies.
• Stay up-to-date on industry trends, fostering continuous learning and disseminating insights to clients and internal groups.

Requirements

• Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects.
• Practical experience in AI roles such as Consultant or AI Solution Architect.
• Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Demonstrable hands-on experience implementing AI/ML solutions in a business context.
• Proven experience with at least one major cloud platform (AWS, GCP, or Azure).
• Expertise in Generative AI/LLMs; comfortable working with modern frameworks and tools such as LangChain.
• Solid understanding of MLOps practices, including setting up model training pipelines, CI/CD, and monitoring ML models.
• Strong communication and leadership skills for cross-functional collaboration and stakeholder management.

Culture & Benefits

• Promotes a culture of radical respect and personal well-being.
• Offers remote, onsite, and hybrid work options.
• Provides Learning and development centers, R&D labs, and mentorship programs for professional growth.
• Supports the ability to switch between projects and technology stacks.
• Includes vacation, health insurance, and sick pay as per local laws.
• Offers time off for state holidays and opportunities for corporate parties and get-togethers.
• Helps cover the cost of IT certifications and provides access to top-tier courses and learning platforms.