Senior AI Solutions Architect (LLM/RAG/Knowledge Graph)

TL;DR

Senior AI Solutions Architect (LLM/RAG/Knowledge Graph): Designing and implementing scalable AI platforms that transform expert knowledge into structured graph-based intelligence with an accent on RAG, semantic search, and agent workflows. Focus on building robust evaluation frameworks, optimizing retrieval quality, and orchestrating complex LLM pipelines for enterprise-grade solutions.

Location: Must be based in one of the following countries: Kazakhstan, Serbia, Romania, Ukraine, Cyprus, Poland, Latvia, Bulgaria, Georgia, or Armenia.

Company

hirify.global is a global software engineering firm that builds innovative solutions for enterprise clients across various industries.

What you will do

• Design and manage end-to-end LLM orchestration and retrieval pipelines.
• Own the entity extraction pipeline to convert unstructured content into graph nodes and relationships.
• Implement entity resolution, relationship normalization, and deduplication processes.
• Develop prompt engineering approaches and agentic workflows for advanced use cases.
• Design and maintain evaluation frameworks including ground truth dataset creation.
• Optimize LLM usage costs and implement observability, logging, and tracing for AI pipelines.

Requirements

• Must be based in one of the supported countries: Kazakhstan, Serbia, Romania, Ukraine, Cyprus, Poland, Latvia, Bulgaria, Georgia, or Armenia.
• Experience designing and implementing LLM-based systems in production environments.
• Hands-on experience with retrieval augmented generation and semantic search.
• Proficiency in Python and data processing workflows.
• Experience building entity extraction pipelines and working with knowledge graphs.
• Strong understanding of embeddings, vector search, and chunking strategies.

Nice to have

• Experience with Google Cloud Platform services including Cloud Spanner and Vertex AI.
• Familiarity with enterprise AI platforms such as Gemini.
• Knowledge of cost optimization techniques for large-scale LLM systems.
• Experience with graph data models and hybrid architectures.

Culture & Benefits

• Health insurance coverage for you and your loved ones.
• Vacation and sick pay as per local laws.
• Time off for state holidays according to the official calendar.
• Support for IT certifications and access to learning platforms.
• Comfort service for technical and everyday work problems.