Senior AI/ML Engineer (AI)

TL;DR

Senior AI/ML Engineer (AI): Architecting and implementing scalable ML/LLM systems that handle large volumes of data and near real-time processing with an accent on security, reliability, latency, and cost optimization. Focus on building modular Python services, designing enterprise integrations for agentic workflows, and automating user-friendly reports.

Location: Remote from EU, Armenia, Kazakhstan, or Georgia

Company

hirify.global develops and optimizes scalable ML/LLM systems for enterprise integrations and data processing.

What you will do

• Architect and implement scalable ML/LLM systems, focusing on security, reliability, latency, and cost optimization.
• Build modular, maintainable, and well-tested Python services and workflow components.
• Design and implement enterprise integrations for agentic workflows using relevant platform APIs.
• Perform quality assurance and data normalization across pipelines.
• Automate the creation of clear, user-friendly reports and outputs based on agent results.
• Collaborate closely with stakeholders and engineers across teams to deliver solutions.

Requirements

• Strong proficiency in Python, including asyncio.
• Solid experience building REST APIs.
• Familiarity with ML frameworks and libraries such as PyTorch / TensorFlow (Keras), numpy, scikit-learn.
• Experience with tool calling and MCP.
• Experience with LLM agents, including handling state, context, memory, iterative loops, and output validation.
• Experience working with databases / data stores (PostgreSQL/MySQL, NoSQL, S3).
• Experience evaluating ML/LLM outputs for quality, accuracy, and consistency.
• English Level: B2+ required.

Nice to have

• Azure ecosystem experience: Azure Functions, Azure Cognitive Services, Azure AI Vision / Document Intelligence.
• Docker.

Culture & Benefits

• Competitive compensation.
• Remote or office work options.
• Flexible working hours.
• Healthcare benefits: medical insurance and paid sick leave.
• Continuous education, mentoring, and professional development programs.
• Certifications paid by the company.