Top Artificial Intelligence Jobs in Turkey

Design, build, and deploy production-grade AI systems: develop and optimize LLM and diffusion features, engineer prompt systems and evaluation workflows, collaborate with backend/product teams, and own feature lifecycle from prototype to scalable maintenance.

Design and maintain scalable AI systems using LLMs, build applications, collaborate with teams, and improve agent quality and performance.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

Design and develop real-time decisioning systems for personalized user experiences, focusing on machine learning applications in high-performance environments, while collaborating with cross-functional teams to enhance engagement metrics.

Responsible for delivering AI-powered product features, managing AI roadmap alignment, and collaborating with data scientists and UX teams. Requires strong AI knowledge and over 5 years of Product Management experience.

As a Social Media Specialist, you will manage social media accounts, interact with audiences, schedule content, and optimize workflows using AI tools.

The AI Visibility Specialist will analyze brands' presences in AI platforms and develop strategies to enhance visibility, focusing on SEO and content optimization.

The role involves leading AI projects, improving AI models and tools, and designing automation solutions using Generative AI. Collaboration with various teams is essential.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.