Senior GenAI Engineer

Senior GenAI Engineer designing AI models and leveraging frameworks at EY GDS Poland. Driving innovation with experience in Data Science, Machine Learning, and Generative AI.

Posted 7/15/2026full-timeWrocław • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing advanced AI models using frameworks like LangChain and TensorFlow, with a strong foundation in Generative AI and Natural Language Processing techniques. Proven ability to collaborate with cross-functional teams to deliver scalable AI solutions while adhering to trusted AI practices.

Highest-signal resume keywords

Generative AI ExpertisePython ProgrammingNatural Language Processing (NLP)Cloud Platform ExperienceMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceArtificial IntelligenceTensorFlowPyTorchPandasScikit-LearnLangChainLangGraphAutoGenSemantic Kernel

Soft Skills

Problem-SolvingAnalytical Skills

Tools & Technologies

DockerKubernetesGitAzure DevOpsAzureAWSGCP

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Engineering

Industry Keywords

AI ModelsAI SystemsAI PipelinesCI/CDMonitoringFairnessTransparencyAccountability

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and implement advanced AI models and systems while leveraging modern frameworks like LangChain, LangGraph or agentic AI technologies.
Develop new AI approaches and solutions, experimenting with cutting-edge architectures and driving innovation across business use cases.
Deliver scalable and high-impact AI capabilities.

Requirements

What you’ll need

3+ years of experience in Data Science and Artificial Intelligence.
Knowledge and experience in Generative AI (GenAI) including Agentic AI.
Proficiency in Python programming language and frameworks like TensorFlow, PyTorch, Pandas or Scikit-Learn.
Knowledge of at least one framework like LangChain, LangGraph, AutoGen, Semantic Kernel or other.
Strong understanding of Natural Language Processes (NLP) techniques such as tokenization, string comparison and embeddings.
Experience with cloud platforms such as Azure, AWS or GCP.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Hands-on experience with tools such as Docker, Kubernetes, and Git or Azure DevOps to build and manage AI pipelines including MLOps practices, covering CI/CD, and monitoring of AI.
Know trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
Implement monitoring and logging tools to ensure AI model performance and reliability.
Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
Demonstrate excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

Benefits

Comp & perks

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.