Senior AI Engineer: Generative LLMs, RAG & NLP

Etiya; Fatih; On-site; TRY 350,000 - 700,000; Full time

Benefits offered by this job

Experience with cloud platforms

MLOps & model deployment

Publications or patents

CI/CD & TDD

Job summary

Etiya is expanding its AI practice and seeks a skilled AI/ML Engineer to develop and optimize LLM-based solutions. You will train, fine-tune and deploy models, focusing on NLP tasks and Retrieval-Augmented Generation across international projects.

The role emphasizes scalable coding, collaboration, and ongoing learning in a dynamic, cloud-enabled environment. Fluency in English is required.

Qualifications

• BS or MS in Computer Science, AI or related field.
• Strong fundamentals in software engineering principles.
• Proficient in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with NLP, LLMs and Generative AI models.
• Knowledge of retrieval systems and information retrieval.
• Familiarity with design patterns and OOP.
• Experience with Git or similar VCS.

Responsibilities

• Write high-quality, scalable code following software engineering principles.
• Develop modular systems with proper design patterns.
• Train, fine-tune and optimise LLMs for various tasks.
• Build applications using LLMs for text generation, translation and QA.
• Design and implement RAG systems for LLMs.
• Enable LLMs to retrieve and use external information sources.
• Analyze performance and improve model accuracy and efficiency.
• Keep up with latest generative AI developments.
• Collaborate with team members and share knowledge.

Skills

Python

OOP

NLP

LLMs

Retrieval systems

Data structures

Git

TensorFlow/PyTorch

English proficiency

Problem solving

Education

BS or MS in Computer Science or related field

Tools

TensorFlow

PyTorch

NLP libraries

Job description

Etiya is expanding its AI practice and seeks a skilled AI/ML Engineer to develop and optimize LLM-based solutions. You will train, fine-tune and deploy models, focusing on NLP tasks and Retrieval-Augmented Generation across international projects.

The role emphasizes scalable coding, collaboration, and ongoing learning in a dynamic, cloud-enabled environment. Fluency in English is required.