AI Engineer — Agentic AI & Azure Automation

Ecolab, Inc.; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Lunch subsidy

Sport bonus

Holiday bonus

Hybrid work model

Career development

Learning programs

Team events

Parking space

Job summary

Ecolab, Inc. Krakow is seeking a skilled AI Engineer to design, develop, and deploy AI-powered solutions on Azure cloud. The role focuses on agentic AI systems and intelligent automation to help drive business value across functions.

You will collaborate with data engineering, product, and business stakeholders, implement robust CI/CD, and ensure secure, scalable AI deployments in a hybrid work environment.

Qualifications

• 2+ years in AI/ML engineering or data science.
• Strong Python and SQL programming skills.
• Hands-on experience with Azure cloud AI services.

Responsibilities

• Design and develop AI-powered applications and agent-based systems for intelligent automation.
• Build and deploy AI/ML solutions on Azure services.
• Develop data processing and ML workflows with Databricks and Spark.
• Implement CI/CD pipelines for automated deployment.
• Work on LLM-based solutions, including prompt engineering and RAG.
• Conduct model development: preprocessing, feature engineering, training, evaluation.
• Optimize model performance, scalability, and cost in production.
• Implement monitoring and observability for AI systems.
• Collaborate with cross-functional teams to integrate AI solutions.
• Follow secure development practices (Key Vault, RBAC).

Skills

Python

SQL

Machine Learning

LLMs

Prompt engineering

Data processing

Analytical thinking

Problem solving

Tools

Azure OpenAI

Azure ML

Azure Functions

Azure Databricks

PySpark

CI/CD (Azure DevOps/GitHub Actions)

Docker

Job description

Ecolab, Inc. Krakow is seeking a skilled AI Engineer to design, develop, and deploy AI-powered solutions on Azure cloud. The role focuses on agentic AI systems and intelligent automation to help drive business value across functions.

You will collaborate with data engineering, product, and business stakeholders, implement robust CI/CD, and ensure secure, scalable AI deployments in a hybrid work environment.