Senior AI Engineer: LLMs, Production Systems & Cross‑Industry AI

Prometa AI; Fatih; On-site; TRY 420,000 - 540,000; Full time

Job summary

Prometa.ai seeks a Senior AI Engineer to tackle real-world AI problems across industries such as retail, finance, and travel. You will work with state-of-the-art models (GPT-4, LLaMA or similar), fine-tune them for business needs, and design agentic workflows.

You will deploy models in production using FastAPI/Flask and Docker, write production-grade Python, optimize performance in cloud environments, mentor juniors, and contribute to the technical roadmap while staying up‑to‑date with research.

Qualifications

• Master’s degree in CS/CE or related field.
• 5+ years in AI/ML or software engineering with NLP/LLMs.
• Strong Python and PyTorch proficiency; experience with Hugging Face Transformers.
• Hands-on experience deploying models to production using APIs and containerized environments.

Responsibilities

• LLM engineering and agentic workflows for state-of-the-art models.
• Cross-industry AI solutions across retail, finance and travel.
• Deploy AI models in production with APIs and Docker-based pipelines.
• Produce production-grade Python following software engineering best practices.
• Optimize AI models for performance and scalability in cloud environments.
• Collaborate with cross-functional teams to deliver AI-powered products.
• Stay updated with AI research and translate advancements into applications.

Skills

Python

PyTorch

NLP/LLM

Hugging Face Transformers

Model fine-tuning

Production deployment

Mentoring

Education

Master’s degree in Computer Science or Computer Engineering or related field

Tools

Docker

FastAPI / Flask

Git

Job description

Prometa.ai seeks a Senior AI Engineer to tackle real-world AI problems across industries such as retail, finance, and travel. You will work with state-of-the-art models (GPT-4, LLaMA or similar), fine-tune them for business needs, and design agentic workflows.

You will deploy models in production using FastAPI/Flask and Docker, write production-grade Python, optimize performance in cloud environments, mentor juniors, and contribute to the technical roadmap while staying up‑to‑date with research.