Senior Data & AI Engineer (Agentic AI / Azure)
Senior Data & AI Engineer (Agentic AI / Azure)
100% Remote
200-240 PLN/h
Long-term project
B2B Contract
About the project
We are looking for an experienced Senior Data & AI Engineer to join a long-term project focused on building modern AI-driven solutions in a large-scale enterprise environment.
The role combines advanced Data Engineering, LLM integration, and Agentic AI capabilities. You will design and implement scalable data pipelines, integrate AI services into production systems, and help build intelligent workflows powered by modern AI architectures.
You'll work on solutions responsible for processing large-scale operational and observability data, integrating external ML workloads, and implementing RAG-based AI systems used directly by business applications.
Your responsibilities
Design and implement scalable ETL/ELT pipelines using Azure services
Build solutions that move data from source systems (e.g. Azure Event Hubs) into processing environments such as Azure Databricks
Expose processed data according to architectural and platform standards
Integrate external ML and AI workloads into the existing enterprise architecture
Develop AI-powered solutions leveraging LLM APIs and RAG architectures
Create and optimize prompts used directly within production applications
Ensure data quality, reliability, and observability across AI and data pipelines
Design intelligent workflows and orchestration logic for AI-based systems
Collaborate with architects, product teams, DevOps, and platform engineers
Contribute to software engineering best practices including testing, CI/CD, documentation, and code reviews
Participate in Agile ceremonies and technical planning
Tech stack
Azure Databricks
Azure Functions
Azure Event Hubs
Python
LLM APIs
RAG architectures
ETL / ELT
Docker / Kubernetes
CI/CD
Git
Must-have requirements
5+ years of experience in Data Engineering, AI Engineering, or ML Engineering
Strong hands-on experience with:
Azure Databricks
Azure Functions
Azure Event Hubs
Strong experience building robust and scalable ETL/ELT pipelines
Excellent Python programming skills
Hands-on experience integrating LLM APIs into production systems
Experience designing and implementing RAG-based solutions
Understanding of prompt engineering for production applications
Experience working with cloud environments (preferably Azure)
Knowledge of software engineering best practices and clean architecture
Experience working in Agile teams
Nice to have
Experience with Agentic AI / multi-agent workflows
Experience integrating ML or analytics models into production pipelines
Familiarity with observability data formats (logs, metrics, traces)
Experience with Docker, Kubernetes, and Infrastructure as Code
Knowledge of monitoring and quality assurance practices for AI systems
Experience with enterprise-scale AI platforms
What we offer
100% remote work
Long-term cooperation
Opportunity to work on cutting-edge AI and Agentic AI solutions
Real impact on architecture and technology decisions
International environment and modern tech stack
Stable and flexible B2B cooperation