AI Engineer FERASET is a fast-growing AI startup based in Istanbul, building globally successful mobile apps powered by AI. With 30M+ downloads, our products are consistently ranked among the top charts in multiple countries.Backed by a $4.5M seed investment from top-tier global VCs, we’re scaling rapidly and investing in both product and talent. We’re building long-term, deeply creative, and useful AI experiences across design, music, video, photo, and utility categories.If you’re looking to join a fast-moving, product-driven team and create apps loved by millions, you’re in the right place.What You’ll Be DoingDesign, build, and ship AI-powered systems that run reliably in real-world production environments.Develop and optimize LLM and diffusion-based features, owning the lifecycle from prototype to scalable deployment.Engineer structured prompt systems and evaluation workflows to systematically improve output quality.Collaborate with backend and product teams.Take full ownership of features, from experimentation and iteration to debugging, scaling, and long-term maintenance.What We’re Looking ForAt least 2 years of hands-on experience building and shipping AI-powered systems in production.Excellent Python skills: OOP, performance-oriented design, profiling, optimization, and writing production-grade code.Hands-on experience with LLM/agent frameworks and SDKs: OpenAI, Google GenAI, Agents SDK, Google ADK, LangChain, etc.Hands-on experience with the Hugging Face ecosystem: Transformers, Diffusers, Accelerator, PEFT etc. Familiarity with diffusion and autoregressive architectures and their behavior in real-world production environments.Solid understanding of prompt engineering and how to systematically improve prompt performance.Experience building node-based or workflow-driven AI pipelines (ComfyUI, n8n, fal, etc.).Familiarity with fundamental ML algorithms and data analysis.Familiarity with serverless architectures for AI inference workloads (service design, autoscaling, cold starts, and cost-performance trade-offs).Familiarity with Firebase + GCP ecosystems: Firestore, Cloud Functions, and cloud-native production workflows.Strong backend fundamentals: API design, system architecture patterns, database design, scalability, reliability, and edge-case handling.Kubernetes experience is a strong plus.FinOps awareness: understanding cost drivers, usage optimization, and cloud/LLM cost control strategies.Strong command of English at B2 level or higher, in both written and verbal communication.High potential, ambitious, sharp mind: You don’t wait for instructions, you make things happen.Proactive, self-directed, fast, focused, and responsive; comfortable working at a startup-style pace.Why FERASET?We move fast. We care deeply about what we build. And we’re just getting started.Here’s what makes us different:Impact at Scale - Your work will be used by millions of people across the globeOwnership from Day 1 - Small team, big responsibility, no micromanagementProduct + AI = Magic - Build the future of creative tools powered by generative AICareer Acceleration - Learn faster than anywhere else, grow with the companyA-Players Only - Work with the best of the best, like a championship team pushing each other to achieve greatnessCompetitive Compensation - We offer highly competitive salaries and real recognition for real workCommuting Support - Monthly transportation allowance for hybrid/office workMeal Compensation - Daily meal card for a healthy and satisfying lunchPrivate Health Insurance - Premium coverage to keep you safeLearning Budget - Yearly education support to level up your skills FERASET is a fast-growing AI startup based in Istanbul, building globally successful mobile apps powered by AI. With 30M+ downloads, our products are consistently ranked among the top charts in multiple countries.Backed by a $4.5M seed investment from top-tier global VCs, we’re scaling rapidly and investing in both product and talent. We’re building long-term, deeply creative, and useful AI experiences across design, music, video, photo, and utility categories.If you’re looking to join a fast-moving, product-driven team and create apps loved by millions, you’re in the right place.What You’ll Be DoingDesign, build, and ship AI-powered systems that run reliably in real-world production environments.Develop and optimize LLM and diffusion-based features, owning the lifecycle from prototype to scalable deployment.Engineer structured prompt systems and evaluation workflows to systematically improve output quality.Collaborate with backend and product teams.Take full ownership of features, from experimentation and iteration to debugging, scaling, and long-term maintenance.What We’re Looking ForAt least 2 years of hands-on experience building and shipping AI-powered systems in production.Excellent Python skills: OOP, performance-oriented design, profiling, optimization, and writing production-grade code.Hands-on experience with LLM/agent frameworks and SDKs: OpenAI, Google GenAI, Agents SDK, Google ADK, LangChain, etc.Hands-on experience with the Hugging Face ecosystem: Transformers, Diffusers, Accelerator, PEFT etc. Familiarity with diffusion and autoregressive architectures and their behavior in real-world production environments.Solid understanding of prompt engineering and how to systematically improve prompt performance.Experience building node-based or workflow-driven AI pipelines (ComfyUI, n8n, fal, etc.).Familiarity with fundamental ML algorithms and data analysis.Familiarity with serverless architectures for AI inference workloads (service design, autoscaling, cold starts, and cost-performance trade-offs).Familiarity with Firebase + GCP ecosystems: Firestore, Cloud Functions, and cloud-native production workflows.Strong backend fundamentals: API design, system architecture patterns, database design, scalability, reliability, and edge-case handling.Kubernetes experience is a strong plus.FinOps awareness: understan