Senior Backend Engineer (Go/Rust/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Engineer (Go/Rust/AI): Building scalable AI-powered backend systems for SysML-based engineering environments with an accent on distributed data processing, LLM workflows, and graph-based knowledge representation. Focus on designing RAG architectures, implementing AI agents, and optimizing ETL pipelines for large-scale technical data analysis.
Location: Remote from Europe (Albania, Poland, Romania, Ukraine), Latin America (Argentina, Brazil, Colombia)
Company
Engineering company delivering advanced technology solutions for AdTech clients focused on AI and data-driven advertising optimization.
What you will do
- Design and develop scalable AI-powered backend systems and high-performance APIs for SysML-based platforms
- Build and optimize distributed ETL pipelines and data ingestion for large-scale engineering artifacts
- Implement LLM-powered workflows, AI agents, multi-agent orchestration, and RAG-based semantic retrieval
- Develop graph-based knowledge representation, traceability analysis, and semantic relationship modeling
- Optimize distributed data processing with Apache Spark and collaborate on cloud-native infrastructure
- Improve system reliability, scalability, observability, and support secure deployments
Requirements
- Upper-Intermediate English
- At least 5 years in software/Data engineering or AI systems
- Strong experience with Go, Rust, or Scala; building distributed scalable systems
- Hands-on with LLM apps, AI integrations, AI agents, RAG architectures, graph technologies/databases
- Experience with Apache Spark, ETL pipelines, large-scale data ingestion, cloud-native infrastructure
- Strong problem-solving, communication; API development, semantic search understanding
Nice to have
- Background in Data Engineering or Knowledge Graphs
- Experience with MBSE/SysML, air-gapped environments, vector databases, Kubernetes/AWS/GCP/Azure
Culture & Benefits
- Remote work with flexible schedule
- Health and legal support, continuous education, professional community
- Diversity of domains/technologies, sports/community activities
- Outstanding offices available if chosen
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