Senior AI Engineer: Production-Scale Systems (Poland)

Zoolatech

Wrocław

Hybrid

PLN 280,000 - 360,000

Full time

4 days ago
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Job summary

Zoolatech seeks an experienced Senior AI engineer to design, deliver, and scale intelligent systems that drive business outcomes. You will architect production-grade AI solutions across agentic workflows, retrieval-augmented pipelines, and LLM-integrated applications for enterprise automation.

The role requires deep technical expertise and strong delivery ownership, spanning full-stack to production. You will lead technical workstreams, mentor engineers, and translate business needs into

Qualifications

  • 3-7+ years of hands-on software, AI, or ML engineering experience.
  • Experience with Large Language Models (LLMs) and production deployments.
  • Knowledge of security, reliability, and scalable design principles.

Responsibilities

  • Design AI architectures and workflows from concept to production.
  • Build AI-driven solutions such as automated workflows and LLM-based applications.
  • Implement AI pipelines using LLM APIs, Python logic, and orchestration tools.
  • Integrate diverse data sources and automate enterprise processes.
  • Identify risks, security concerns, and human-in-the-loop requirements.
  • Iterate technologies to improve AI workflows and efficiency.
  • Deliver incremental solutions with rapid business feedback.

Skills

Python
Full-stack / Backend
Concurrency / Async
AI/ML engineering
Prompt engineering

Education

Bachelors in CS or related

Tools

Docker
Kubernetes
CI/CD
LangChain
LangGraph
LLM APIs

Job description

Zoolatech seeks an experienced Senior AI engineer to design, deliver, and scale intelligent systems that drive business outcomes. You will architect production-grade AI solutions across agentic workflows, retrieval-augmented pipelines, and LLM-integrated applications for enterprise automation.

The role requires deep technical expertise and strong delivery ownership, spanning full-stack to production. You will lead technical workstreams, mentor engineers, and translate business needs into

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