89 English-speaking jobs in Lublin

Senior Full-Stack Data Scientist to design, build, and scale production-grade Generative AI systems. Requires 6+ years in Data Science/AI Engineering, 4+ years building Python systems, and 2+ years delivering real-world LLM/GenAI applications. Proven experience with RAG pipelines and strong understanding of LLM trade-offs are essential.

Genesys specialist to design, configure, and improve contact center solutions. Focus on call flows, routing, automation, and AI functionalities. Requires 5+ years of Genesys Cloud experience and ability to translate business needs into technical solutions.

Site Reliability Engineer to maintain a cloud-based SaaS platform. Responsibilities include incident response, observability improvements, automation, and CI/CD pipeline support. Requires 2+ years of experience in SRE, DevOps, or Production Operations with AWS, SaaS applications, Kubernetes, and Infrastructure as Code.

Software Engineer to build and maintain integrations between a public safety platform and third-party systems. Develop integration workflows using TypeScript and Node.js, designing secure and scalable cloud-based solutions.

Software Engineer to build and maintain integrations between a public safety platform and third-party systems using TypeScript and Node.js. Develop secure, scalable cloud-based solutions and collaborate with engineers, product managers, and cross-functional teams.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production environments on Azure. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.

Data Quality Specialist will monitor data integrity, validate calculations, and collaborate with development teams to resolve issues and enhance quality standards.

AgileEngine seeks a Data Quality Specialist to monitor data integrity, validate calculations, and collaborate with development teams to resolve issues and enhance quality standards. The role involves reporting on data accuracy, identifying and tracking data quality issues, and establishing data quality metrics.

Maintain and execute automated regression tests for SPA1 and SPA2, analyzing test results and creating defect reports. Monitor product health in master and release branches.

Senior ML/AI Engineer will deploy ML models, design GenAI solutions, and build data pipelines and ML lifecycle systems. Experience with MLOps/LLMOps, Databricks, Spark, and Azure ML is required.

System Validation Engineer for Data Processing Unit (DPU) development. Design, develop, and execute functional and performance tests across project stages. Collaborate with architects, hardware, and verification engineers.

Senior Observability Tech Lead to own and drive observability strategy. Design and assess observability architectures, lead architecture reviews, and mentor engineers. 5+ years experience in observability within large-scale enterprise environments required. Strong New Relic expertise and experience leading teams.

Remote AI DevOps Engineer will design, deploy, and manage AI/ML/GenAI systems at scale on Azure. Responsibilities include building scalable infrastructure, optimizing performance, and advising stakeholders. Requires 5+ years of DevOps/Cloud Engineering experience with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLM/SLM deployments in Azure cloud environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

Lead and mentor a small engineering team to design, deploy, and maintain AI agents, automation workflows, and reliable AI systems. Strong experience with AI agents, pipelines, workflows, MLOps, Kubernetes, Docker, and Azure is required.

Consultant AI DevOps Engineer will design, deploy, and manage AI/ML/GenAI systems at scale, focusing on LLM/SLM production deployments within Azure environments. Requires 5+ years of DevOps/Cloud Engineering experience with proven AI/ML/GenAI system deployment and strong Azure expertise.

Full Stack Engineer will build and scale real-time, data-driven services using Java, Spring Boot, React, TypeScript, and AWS. Responsibilities include developing microservices, designing APIs, and delivering responsive interfaces with live updates.

Full Stack Engineer will build and scale real-time, data-driven services using Java, Spring Boot, React, TypeScript, and AWS. Responsibilities include developing microservices, designing APIs, and delivering responsive interfaces.

Senior Full-Stack Data Scientist to design, build, and scale production-grade Generative AI systems. Lead LLM-based solution design, build end-to-end GenAI applications, and own critical architectural decisions. Requires 6+ years in Data Science/AI Engineering, 4+ years building production-ready Python systems, and 2+ years delivering real-world LLM/GenAI applications. Proven experience with RAG pipelines and strong understanding of LLM trade-offs are essential. Fluent English and strong stakeholder communication skills are required.

Software Engineer to build and maintain integrations between a public safety platform and third-party systems using TypeScript and Node.js. Develop secure, scalable cloud-based solutions connecting real-world operations.