Senior Backend Engineer

About the role

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 engineering artifacts and 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 Work with graph databases, graph processing libraries, and semantic relationship modeling Build and optimize distributed data processing workflows using Apache Spark Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services Design scalable and high-performance APIs and backend services Improve system reliability, scalability, observability, and performance across distributed environments Participate in architecture discussions and technical decision-making processes Contribute to cloud-native infrastructure and deployment workflows Support deployments in secure, air-gapped, or classified environments when required Create and maintain technical documentation and engineering best practices At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development Experience with at least one JVM language Hands-on experience building distributed and scalable systems Practical experience with LLM-based applications and AI integrations Experience building AI agents and multi-agent systems Strong understanding of RAG architectures and semantic retrieval workflows Hands-on experience with graph technologies, graph libraries, and graph databases Strong understanding of ETL pipelines and large-scale data ingestion workflows Experience with cloud-native infrastructure and distributed environments Practical experience with backend platform development and API integrations Good understanding of semantic search, entity resolution, and metadata extraction Experience working with highly scalable and high-performance systems Strong problem-solving and communication skills Upper-Intermediate level of English WILL BE A PLUS Background in Data Engineering Experience with distributed data processing, Apache Spark, or Apache Beam Experience with Knowledge Graphs and graph-based semantic modeling Familiarity with MBSE or SysML environments Experience supporting air-gapped or classified environments Experience with vector databases and embedding pipelines Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure PERSONAL PROFILE Analytical mindset with strong problem-solving skills Ability to work independently and in a distributed team Adaptability to secure and classified environments Strong communication and collaboration abilities Passion for AI-driven engineering solutions

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Sigmasoftware2? Share your experience