Senior AI Engineer (AdTech)

TL;DR

Senior AI Engineer (Python/LLM): Designing and developing scalable AI-powered backend systems for SysML-based engineering environments with an accent on RAG architectures, multi-agent orchestration, and graph-based knowledge representation. Focus on building distributed data ingestion pipelines, optimizing LLM workflows for semantic analysis, and implementing high-performance APIs in secure environments.

Location: Remote from Europe (Albania, Poland, Romania, Ukraine) or Latin America

Company

hirify.global is a global IT company providing advanced engineering solutions across various domains, currently partnering with a leader in the AdTech industry.

What you will do

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments.
• Build and maintain distributed data ingestion and ETL pipelines for large-scale technical documentation.
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution.
• Implement AI agents and multi-agent orchestration workflows.
• Design and improve RAG-based architectures and semantic retrieval pipelines.
• Develop graph-based knowledge representation and traceability analysis solutions using graph databases.

Requirements

• 5+ years of commercial experience in software engineering, backend development, or AI systems.
• Expert proficiency in Python.
• Practical experience building LLM-based applications and implementing RAG architectures.
• Hands-on experience with graph technologies, graph libraries, and graph databases.
• Experience with AI agents, tool-calling, or multi-step AI orchestration.
• English: Upper-Intermediate (B2) or higher.
• Location: Must be based in Europe (Albania, Poland, Romania, Ukraine) or Latin America.

Nice to have

• Experience with distributed data processing (Apache Spark, Apache Beam).
• Background in Data Engineering or Knowledge Graphs.
• Familiarity with MBSE or SysML environments.
• Experience with Kubernetes and cloud platforms (AWS, GCP, or Azure).
• Experience supporting air-gapped or classified environments.

Culture & Benefits

• Remote work with a flexible schedule.
• Health and legal support.
• Continuous education and professional growth opportunities.
• Access to an active professional community and variety of technology stacks.
• Option to work from outstanding physical offices if preferred.