Senior AI Engineer: Scalable LLM & Enterprise Automation

Zoolatech; Fatih; On-site; TRY 300,000 - 700,000; Full time

Job summary

Zoolatech is recruiting an experienced Senior AI Engineer to design, deliver, and scale intelligent systems for enterprise automation. You will architect production-grade AI solutions spanning agentic workflows, retrieval-augmented pipelines, and LLM-integrated applications with strong delivery ownership.

The role centers on full-stack engineering, Python development, and cloud-based deployments, aiming to ship robust AI capabilities across multiple departments with speed and precision.

Qualifications

• 3–7+ years hands-on software/AI engineering with production systems.
• Proven experience with Large Language Models (LLMs) in production.
• Strong Python skills and concurrency/async design knowledge.
• Experience delivering AI-driven workflows and enterprise scale solutions.
• Familiarity with cloud platforms and DevOps tooling for CI/CD.

Responsibilities

• Design AI architectures and workflows from concept to production.
• Build AI-driven workflows, agents, and LLM-based apps for enterprise use.
• Implement AI pipelines using LLM APIs, Python logic, and orchestration tools.
• Integrate multiple data sources and automate business processes.
• Identify risks and establish human-in-the-loop review when needed.
• Improve AI workflows by selecting appropriate tech and approaches.
• Deliver incremental solutions to enable rapid business feedback.

Skills

Python

LLMs

Prompt engineering

Distributed systems

Cloud platforms

Docker/Kubernetes

Concurrency/Async

LangChain/LangGraph

Communication

Tools

Docker

Kubernetes

LangChain

LangGraph

LLM APIs

AWS/Azure/GCP

Job description

Zoolatech is recruiting an experienced Senior AI Engineer to design, deliver, and scale intelligent systems for enterprise automation. You will architect production-grade AI solutions spanning agentic workflows, retrieval-augmented pipelines, and LLM-integrated applications with strong delivery ownership.

The role centers on full-stack engineering, Python development, and cloud-based deployments, aiming to ship robust AI capabilities across multiple departments with speed and precision.