Senior Backend Engineer (Go/AI)

TL;DR

Senior Backend Engineer (Go/AI): Building and optimizing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments with an accent on distributed data ingestion and semantic analysis. Focus on implementing AI agents, RAG architectures, and graph-based knowledge representation to enhance decision-making in mission-critical projects.

Location: Remote from Europe (Albania, Poland, Romania, Ukraine) or Latin America; hybrid options available via company offices.

Company

hirify.global is an innovative IT services provider delivering advanced technology solutions across diverse business domains.

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 and artifacts.
• Develop LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution.
• Implement AI agents and multi-agent orchestration workflows using RAG-based architectures.
• Develop graph-based knowledge representation and traceability analysis solutions using graph databases.
• Collaborate with cross-functional teams to optimize system reliability, scalability, and performance across distributed environments.

Requirements

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development.
• Expert proficiency in Golang and experience with at least one JVM language.
• Hands-on experience building distributed systems, AI agents, and LLM-based applications.
• Strong understanding of RAG architectures, semantic retrieval, and graph technologies.
• Experience with ETL pipelines and large-scale data ingestion workflows.
• English: Upper-Intermediate (B2) level required.
• Location: Must be based in Europe (specifically Albania, Poland, Romania, Ukraine) or Latin America.

Nice to have

• Background in Data Engineering with experience in Apache Spark or Apache Beam.
• Experience with Knowledge Graphs and graph-based semantic modeling.
• Familiarity with MBSE or SysML environments.
• Experience with vector databases, embedding pipelines, and Kubernetes.
• Knowledge of cloud platforms such as AWS, GCP, or Azure.

Culture & Benefits

• Flexible remote work arrangement with optional access to physical offices.
• Comprehensive health and legal support.
• Continuous education opportunities and access to an active professional community.
• Work with a variety of cutting-edge technologies across diverse domains.
• Flexible scheduling and corporate sports/community activities.