Software Engineer - Genetec AI Platform

Genetec; Kraków; Hybrid; PLN 210,000 - 320,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Genetec is seeking a mid-/senior-level engineer to help modernise our AI/GenAI stack and enable scalable data workflows in Krakow. You will work on data acquisition, transformation, and model deployment pipelines to accelerate experiments and production readiness.

You’ll join a diverse team spanning Poland, Canada and France, contributing to robust and secure software that advances intelligent video surveillance solutions globally.

Qualifications

• Experience building data-driven applications and ML/AI platforms.
• Strong programming skills in Golang and .NET.
• Familiarity with cloud-native architectures and MLOps concepts.

Responsibilities

• Build and maintain data pipelines and self-service data capabilities for model training and deployment.
• Design scalable inference platforms and automated deployment workflows.
• Collaborate across teams in Poland, Canada and France to modernise ML/GenAI stack.

Skills

Golang development

.NET development

Cloud computing

Kubernetes

Terraform

Tools

Databricks

Spark

Job description

Mid-/Senior-level | Golang | .NET | Azure | Artificial Intelligence

At Genetec, we create exceptional outcomes for our customers with innovative strategies and software technologies that will keep their security environment robust and resilient. As a global leader in video surveillance software, the drive to go beyond expectations has been key to the Genetec experience since day one.

Why this role matters

This role turns our AI strategy into reality. By modernising our ML and GenAI stack, enabling data workflows and experimentation, and building scalable inference platforms, you'll help teams create quality datasets, evaluate models, and move them to production. Your work will make AI deployments faster, more reliable, and easier to improve - reducing risk and cost while accelerating innovation.

The team

You’ll join a newly created, diverse team across Canada, France, and Poland, ready to grow. Bring your passion for technology, development, quality, and automation to a collaborative group that shares ideas openly. You’ll help shape our products and build the foundation for AI-driven innovation, making a real impact.

What Your Day Will Look Like

Enable cheap ownership and evolution of high-quality datasets

• Build and maintain self-service data acquisition, annotation, transformation, and versioning capabilities so developers and data practitioners can move from raw data to clean, versioned datasets quickly and continuously.
• Facilitate data lineage tracking and data governance.
• Provide tooling to build transformation pipelines with integrated data quality checks.
• Facilitate experimentation with data and models
• Enable researchers to track their experiments and reproduce past runs with minimal effort.
• Provide access to services with compute clusters for running model training pipelines and experiments.
• Facilitate full traceability of data, code, and artifacts across experiments and data transformation pipelines

Support deployment, scaling, and observability of models

• Design and operate secure, automated deployment workflows that move models from experimentation to production in minutes, not weeks.
• Implement continuous deployment pipelines with versioning and parallel deployments to ensure quality and enable rollbacks.
• Optimise runtime environments to meet latency and performance targets, supporting multi-cluster and multi-tenant scaling.

Requirements

About you

We welcome all qualified candidates, including those who may not meet every listed requirement. If you're excited about this role and believe you can make an impact, we'd love to hear from you.

Machine Learning & MLOps

• Hands‑on experience with MLFlow, KServe, AirFlow.
• Knowledge on labelling/annotation tooling
• Experience with experiment tracking tools
• Familiarity with model runtimes and deployment (Triton Inference Server, OpenVino Model Server).
• Knowledge of DevOps, CI/CD for ML, GitOps workflows, and automated deployment strategies.

Observability & Monitoring

• Proficiency in telemetry and data drift and quality monitoring.
• Cloud & Infrastructure
• Strong skills in Kubernetes and Terraform for infrastructure automation.
• Experience with scaling services in cloud environments.

Programming & Automation

• Solid coding skills in at least one language, Golang or .NET, and the motivation to learn Golang or .NET.

Nice‑to‑have

• Expertise in data platforms, including batch and streaming pipelines, ideally with knowledge of Databricks, Spark, and/or Delta Lake
• Knowledge in labelling/annotation tools
• Knowledge in experiment tracking tools
• Strong understanding of data quality, data versioning, and lineage tracking.
• Knowledge of the Champion/Contender deployment model.
• Understanding of responsible AI governance and compliance.

Benefits

What's in for you

• An opportunity to make a meaningful impact in an international, diverse, and collaborative work environment
• A culture that encourages creativity and fresh ideas, giving you the freedom to challenge the status quo and shape how we work
• A role within an industry‑leading global company and an open, supportive atmosphere
• Corporate Discount Program offering access to a variety of partner perks
• French language classes to support your international collaboration and career growth
• Participation in international team events and conferences, fostering strong connections across regions
• Benefit from an Employee Performance Bonus Plan
• Pension Plan (PPK), ensuring long‑term financial security
• Hybrid work model with three days per week in our Krakow office, supporting our collaboration and company culture.

Genetec is an equal opportunity employer, we strive for diversity and inclusion through our recruitment approach as well as the training and professional development we provide. We partner with external associations and implement internal initiatives to provide a welcoming work environment for employees from all backgrounds.