Senior AI Engineer

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Employees can work remotely