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

Originally posted on Himalayas