Description
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 Doing - Design, 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 For - At 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 globe - Ownership from Day 1 - Small team, big responsibility, no micromanagement - Product + AI = Magic - Build the future of creative tools powered by generative AI - Career Acceleration - Learn faster than anywhere else, grow with the company - A-Players Only - Work with the best of the best, like a championship team pushing each other to achieve greatness - Competitive Compensation - We offer highly competitive salaries and real recognition for real work - Commuting Support - Monthly transportation allowance for hybrid/office work - Meal Compensation - Daily meal card for a healthy and satisfying lunch - Private Health Insurance - Premium coverage to keep you safe - Learning Budget - Yearly education support to level up your skills