Senior AI Software Engineer
Semicon Service Nordic ABPublicerad: 2026-06-20
Ansök senast: 2026-07-20
Beskrivning
Job Description
Our client is embarking on a strategic initiative to modernize and scale its threat detection and threat-hunting capabilities. While an AI-powered solution already exists, the focus is now on transforming a research-oriented implementation into a resilient, enterprise-grade platform capable of operating efficiently in production environments.
This position is ideal for a highly skilled software engineer who is passionate about building scalable systems, improving software quality, and optimizing AI-driven applications. The successful candidate will play a key role in developing an API-centric architecture, enhancing data processing pipelines, and ensuring efficient execution of AI workloads on specialized hardware.
The role offers an excellent opportunity to contribute directly to advanced cyber defense initiatives while gaining further exposure to AI/ML operations, large-scale data processing, and GPU-accelerated computing.
Key Responsibilities
Modernize and refactor existing Python-based AI and machine learning components into maintainable, production-ready software solutions.
Develop and optimize large-scale data ingestion, preprocessing, and feature engineering pipelines capable of processing high-volume security-related data streams.
Design and implement an API-first architecture to ensure seamless integration with the broader Cyber Defense ecosystem.
Facilitate the migration of legacy self-hosted data platforms toward modern cloud-native streaming and processing services.
Improve application performance through hardware-aware optimizations, particularly for GPU-enabled environments requiring low-latency threat detection.
Establish and maintain comprehensive quality assurance practices, including unit testing, integration testing, regression testing, and CI/CD automation.
Collaborate with cross-functional teams to enhance the scalability, reliability, and operational efficiency of AI-driven security solutions.
Support the deployment and maintenance of cloud-native infrastructure and containerized applications.
Required Experience
Extensive professional experience in software engineering with a strong focus on Python-based application development.
Proven experience building and maintaining AI/ML support systems and data processing platforms.
Hands-on expertise in designing scalable, production-grade software architectures.
Experience working with big data ingestion and preprocessing workflows.
Exposure to cloud-native environments, containerization technologies, and infrastructure automation.
Educational Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical discipline.
Required Skills
Programming & Software Engineering
Python
AI/ML Software Development
Clean Code Practices
Software Architecture Design
Testing Frameworks
CI/CD Implementation
Performance & Systems Engineering
GPU Programming
CUDA Programming
Performance Optimization
Low-Latency Systems Design
Additional Programming Languages
Rust (Preferred)
C++ (Preferred)
Go (Preferred)
Data & Infrastructure
Kafka
Redis
Qdrant Vector Database
Data Ingestion Pipelines
Data Preprocessing Workflows
AI/ML Technologies
PyTorch (Torch)
Scikit-learn
AI/ML Model Support and Deployment
Cloud & Containerization
Docker
Kubernetes
Helm
Cloud-Native Technologies
AWS (Preferred)
Google Cloud Platform (Preferred)
Domain Knowledge
Threat Hunting
Security Operations Center (SOC)
Cybersecurity Operations
Language Requirements
Strong professional communication skills in English.
Preferred Qualifications
Familiarity with cybersecurity environments, threat hunting methodologies, or SOC operations.
Understanding of GPU architecture and AI hardware acceleration.
Interest in learning and supporting advanced AI models used within cybersecurity applications.
Experience working with cloud-based streaming and distributed data processing platforms.
Why Join This Project?
Contribute directly to strengthening the client's Cyber Defense capabilities and threat detection initiatives.
Work on cutting-edge AI and machine learning solutions in a real-world security environment.
Gain valuable experience with GPU computing, large-scale data pipelines, and modern cloud-native architectures.
Play a pivotal role in transforming innovative AI research into enterprise-grade production systems.
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com
Our client is embarking on a strategic initiative to modernize and scale its threat detection and threat-hunting capabilities. While an AI-powered solution already exists, the focus is now on transforming a research-oriented implementation into a resilient, enterprise-grade platform capable of operating efficiently in production environments.
This position is ideal for a highly skilled software engineer who is passionate about building scalable systems, improving software quality, and optimizing AI-driven applications. The successful candidate will play a key role in developing an API-centric architecture, enhancing data processing pipelines, and ensuring efficient execution of AI workloads on specialized hardware.
The role offers an excellent opportunity to contribute directly to advanced cyber defense initiatives while gaining further exposure to AI/ML operations, large-scale data processing, and GPU-accelerated computing.
Key Responsibilities
Modernize and refactor existing Python-based AI and machine learning components into maintainable, production-ready software solutions.
Develop and optimize large-scale data ingestion, preprocessing, and feature engineering pipelines capable of processing high-volume security-related data streams.
Design and implement an API-first architecture to ensure seamless integration with the broader Cyber Defense ecosystem.
Facilitate the migration of legacy self-hosted data platforms toward modern cloud-native streaming and processing services.
Improve application performance through hardware-aware optimizations, particularly for GPU-enabled environments requiring low-latency threat detection.
Establish and maintain comprehensive quality assurance practices, including unit testing, integration testing, regression testing, and CI/CD automation.
Collaborate with cross-functional teams to enhance the scalability, reliability, and operational efficiency of AI-driven security solutions.
Support the deployment and maintenance of cloud-native infrastructure and containerized applications.
Required Experience
Extensive professional experience in software engineering with a strong focus on Python-based application development.
Proven experience building and maintaining AI/ML support systems and data processing platforms.
Hands-on expertise in designing scalable, production-grade software architectures.
Experience working with big data ingestion and preprocessing workflows.
Exposure to cloud-native environments, containerization technologies, and infrastructure automation.
Educational Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical discipline.
Required Skills
Programming & Software Engineering
Python
AI/ML Software Development
Clean Code Practices
Software Architecture Design
Testing Frameworks
CI/CD Implementation
Performance & Systems Engineering
GPU Programming
CUDA Programming
Performance Optimization
Low-Latency Systems Design
Additional Programming Languages
Rust (Preferred)
C++ (Preferred)
Go (Preferred)
Data & Infrastructure
Kafka
Redis
Qdrant Vector Database
Data Ingestion Pipelines
Data Preprocessing Workflows
AI/ML Technologies
PyTorch (Torch)
Scikit-learn
AI/ML Model Support and Deployment
Cloud & Containerization
Docker
Kubernetes
Helm
Cloud-Native Technologies
AWS (Preferred)
Google Cloud Platform (Preferred)
Domain Knowledge
Threat Hunting
Security Operations Center (SOC)
Cybersecurity Operations
Language Requirements
Strong professional communication skills in English.
Preferred Qualifications
Familiarity with cybersecurity environments, threat hunting methodologies, or SOC operations.
Understanding of GPU architecture and AI hardware acceleration.
Interest in learning and supporting advanced AI models used within cybersecurity applications.
Experience working with cloud-based streaming and distributed data processing platforms.
Why Join This Project?
Contribute directly to strengthening the client's Cyber Defense capabilities and threat detection initiatives.
Work on cutting-edge AI and machine learning solutions in a real-world security environment.
Gain valuable experience with GPU computing, large-scale data pipelines, and modern cloud-native architectures.
Play a pivotal role in transforming innovative AI research into enterprise-grade production systems.
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com
OM FÖRETAGET
Semicon Service Nordic AB
