Top Artificial Intelligence Jobs in Turkey

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Plan, create, publish, and repurpose SEO-focused content across channels; manage marketing calendar; monitor campaign and SEO performance; and design AI-powered marketing workflows, automation, and reusable prompts. Research and implement AI tools, review AI-generated content for accuracy and brand fit, and recommend data-driven improvements.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Design, build, and scale production-grade LLM applications and AI systems across architecture, data pipelines, deployment, evaluation, monitoring, and optimization. Lead PoCs, implement MLOps (containerization, Kubernetes, MLflow, CI/CD), mentor engineers, collaborate with product and business teams, and advocate responsible AI practices focused on reliability, performance, safety, and business impact.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The AI Data Expert will evaluate and annotate AI-generated content, ensuring cultural relevance and quality through detailed feedback and analysis. Responsibilities include generating original content, performing quality checks, and adhering to evaluation guidelines.

Review 3D CAD models and engineering drawings for manufacturability, GD&T correctness, and tolerance stack-ups; recommend DFM improvements; develop realistic design/manufacturing scenarios; explain engineering mechanics and tribology; and provide structured feedback to improve AI-generated engineering content.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Internship role supporting development, optimization, and deployment of computer vision models. Write Python code with PyTorch/TensorFlow, integrate vision solutions, run experiments, participate in code reviews and agile processes, and collaborate across engineering, product, and data teams to build prototypes and production features.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

Build and own end-to-end features for Chainguard's AI-enabled CI/CD and supply-chain security products. Design, implement, and iterate on integrations like hardened GitHub Actions, container tooling, and agentic AI features. Drive architectural decisions, collaborate with Product and front-end teams, and ship secure, production-ready developer tools.

Lead design and implementation of CI/CD and AI-related product features, owning end-to-end delivery. Build and secure CI/CD systems, work with containers, registries, and Kubernetes, extend agentic AI into customer experiences, guide architecture, and collaborate closely with Product and front-end teams.

Build and ship secure, production-ready CI/CD and AI-integrated features end-to-end. Design, implement, and iterate on products (e.g., hardened GitHub Actions, agent features), work closely with Product and front-end teams, make architectural decisions, and extend Chainguard's agentic AI capabilities into customer-facing experiences.

As an AI Consultant, you will lead analytics projects, support strategy execution, manage stakeholder relations, and contribute to ING's transformation efforts in the banking sector.

Evaluate AI-generated coding interactions end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide clear, opinionated feedback, distinguish response quality levels, and help define best practices for AI-assisted developer workflows.

Lead design and build a production-grade generative AI media platform: architect GPU-backed pipelines (ComfyUI/diffusers), train LoRAs, implement control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, create one-click tools and presets for non-technical teams, and own the technical roadmap with design stakeholders.

Design, implement, and maintain scalable backend APIs and services using Go/PHP/Node.js. Integrate AI-powered developer tools into workflows, experiment with emerging AI approaches, mentor teammates, monitor and optimize system performance, and uphold strong engineering practices (testing, observability, documentation).

Lead development and scaling of research-to-production ML infrastructure for reinforcement-learning-based industrial control. Build distributed training and experiment orchestration, optimize performance (vectorization, profiling), manage GPU capacity on Kubernetes/GCP, productionize models, document work, mentor peers, and act as liaison between Research and Production teams.

Lead end-to-end technical projects for a Voice AI CX platform: scope, plan, manage releases, align product to customer requirements, track metrics, ensure quality, and communicate status to clients and engineering.

Own SEO strategy and KPI progress for client accounts, build AI-supported workflows and automations, create repeatable SEO processes, lead client communications and reviews, and drive measurable visibility and business outcomes by combining AI tools and specialist expertise.

The role involves leading cross-functional teams to define, develop, and launch AI-driven products, ensuring alignment with Insider One's vision and managing product lifecycle from ideation to market release.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.