Senior AI Engineer

Sigma Software Group

Senior AI Engineer at Sigma Software developing scalable AI-driven systems for EdTech solutions. Working with advanced technologies like AI and semantic graphs in a remote, flexible environment.

Posted 6/27/2026full-timeRemote • 🇵🇱 PolandSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLGoGoogle Cloud PlatformKubernetesSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Employees can work remotely

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GolangETL pipelinesAI agentsmulti-agent systemsRAG architecturessemantic retrievaldistributed systemsmetadata extractionApache Sparkbackend development

Soft Skills

problem-solvingcommunication