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 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