Senior Backend Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and create scalable backend systems powered by AI for SysML-based engineering environments.

• Develop and sustain distributed data ingestion and ETL pipelines for extensive engineering artifacts and technical documentation.

• Create and enhance workflows driven by LLM for metadata extraction, semantic analysis, and entity resolution.

• Implement AI agents along with multi-agent orchestration workflows.

• Design and advance RAG-based architectures and semantic retrieval pipelines.

• Develop solutions for graph-based knowledge representation and traceability analysis.

• Work with graph databases, graph processing libraries, and semantic relationship modeling.

• Construct and refine distributed data processing workflows utilizing Apache Spark.

• Collaborate with cross-functional engineering teams to incorporate AI capabilities into platform services.

• Design high-performance APIs and backend services that are scalable.

• Enhance system reliability, scalability, observability, and performance across distributed environments.

• Engage in architecture discussions and contribute to technical decision-making processes.

• Contribute to cloud-native infrastructure and deployment workflows.

• Assist with deployments in secure, air-gapped, or classified environments when necessary.

• Create and maintain technical documentation along with engineering best practices.

⛳️ Requirements

• A minimum of 5 years of professional experience in software engineering, Data Engineering, or development of AI systems.

• Strong production experience in Go, Rust, or Scala.

• Practical experience in building distributed and scalable systems.

• Hands-on experience with LLM-based applications and AI integrations.

• Experience in developing AI agents and multi-agent systems.

• Robust understanding of RAG architectures and semantic retrieval workflows.

• Hands-on experience with graph technologies, graph libraries, or graph databases.

• Familiarity with Apache Spark and distributed data processing.

• Strong grasp of ETL pipelines and workflows for large-scale data ingestion.

• Experience with cloud-native infrastructure and distributed environments.

• Practical knowledge in backend platform development and API integrations.

• Good understanding of semantic search, entity resolution, and metadata extraction.

• Experience in working with highly scalable and high-performance systems.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for professional development.