Senior AI Engineer

Cyclad Show all offers

140 - 160 PLN / hour

Warszawa

Wrocław

5 days ago

In short

Senior AI Engineer for IT Services project in Warsaw (hybrid). Responsibilities include leading AI/GenAI use case implementation, designing AI solutions, and client technical consultation. Requires experience in LLMs, Agentic AI, AI platforms, n8n/Otera, cloud environments (GCP, Azure, AWS), and MLOps. Offers B2B contract with 140-160 PLN/hr net, medical care, and Multisport card.

Keywords

AI GenAI LLM Agentic AI n8n Otera Cloud MLOps API Integration Automation

AI-written summary based on the listing content.

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an Experienced AI Engineer with strong consulting and delivery capabilities. Responsible for the technical design, implementation, and scaling of AI-driven automation use cases across the entire development lifecycle.

Project information:

Type of project: IT Services
Office location: Warsaw
Work model: hybrid – max. 2 days per week in the office/ 3 remote
Budget: 140 - 160 PLN net/ h - b2b
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP

Project scope:

Lead the technical implementation of AI and GenAI use cases.
Design and develop production-ready AI solutions.
Ensure compliance with architecture, quality, and operational standards.
Coach and provide technical leadership to AI Engineers.
Serve as the technical point of contact for clients, Product Owners, and project management teams.

Competence demands:

Several years of experience in the development and operationalization of AI and GenAI solutions.
Strong expertise in LLMs, Agentic AI, and AI platforms.
Hands-on experience designing, implementing, and deploying AI workflows using n8n and/or Otera.
Experience with API integration, data connectivity, and automation solutions.
Experience working in cloud environments (e.g., Google Cloud, Azure, or AWS).
Experience in designing solution architectures to support use case planning and implementation.
Experience using AI coding assistants (e.g., Claude Code) in software development.
Knowledge of AI governance, security, and MLOps/LLM

Ops practices.