AI Engineer

Reposted 4 Days Ago
Hiring Remotely in Turkey
Remote
Junior
Artificial Intelligence • Information Technology • Software
The Role
Design, build, and deploy production-grade AI systems: develop and optimize LLM and diffusion features, engineer prompt systems and evaluation workflows, collaborate with backend/product teams, and own feature lifecycle from prototype to scalable maintenance.
Summary Generated by Built In

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

Skills Required

  • At least 2 years building and shipping AI-powered systems in production.
  • Excellent Python skills (OOP, profiling, optimization, production-grade code).
  • Hands-on experience with LLM/agent frameworks and SDKs (OpenAI, Google GenAI, Agents SDK, Google ADK, LangChain).
  • Hands-on experience with Hugging Face ecosystem (Transformers, Diffusers, Accelerator, PEFT).
  • Familiarity with diffusion and autoregressive architectures and their production behavior.
  • Solid understanding of prompt engineering and systematic prompt performance improvement.
  • Experience building node-based or workflow-driven AI pipelines (ComfyUI, n8n, fal).
  • Familiarity with fundamental ML algorithms and data analysis.
  • Familiarity with serverless architectures for AI inference (autoscaling, cold starts, cost-performance trade-offs).
  • Familiarity with Firebase and GCP ecosystems (Firestore, Cloud Functions, cloud-native production workflows).
  • Strong backend fundamentals: API design, system architecture, database design, scalability, reliability, edge-case handling.
  • Strong English communication skills (B2 level or higher).
  • Kubernetes experience.
  • FinOps awareness (cost drivers, usage optimization, cloud/LLM cost control strategies).
  • Proactive, self-directed, fast, and comfortable working at a startup pace.
Am I A Good Fit?
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The Company
HQ: Istanbul, Istanbul
39 Employees
Year Founded: 2023

What We Do

FERASET, a leading app company based in Istanbul, dedicated to building AI-powered apps with lasting impact.

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