Sigma Software
• 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 Golang • 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 • 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 Are you a Senior AI Engineer passionate about building scalable AI-driven systems?
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