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AI Engineer

2 months, 2 weeks ago
Turkey
Full-time
Junior
AI Engineer
Software Development
Firebase Firestore GCP Hugging Face Kubernetes Machine Learning Python Serverless Transformers
Apply Now
FERASET

FERASET

FERASET develops innovative mobile applications by integrating advanced artificial intelligence with state-of-the-art technology to create user-friendly and intuitive experiences.

Internet Software & Services
Founded 2023
View All Jobs 2

Description

  • Design, build, and ship AI-powered systems that run reliably in production.
  • Develop and optimize LLM- and diffusion-based features from prototype through scalable deployment.
  • Engineer structured prompt systems and evaluation workflows to improve output quality.
  • Collaborate with backend and product teams on feature development and delivery.
  • Own features end to end, including experimentation, iteration, debugging, scaling, and long-term maintenance.
  • Work on cloud-native AI inference workflows and production optimization.
  • Help improve cost efficiency and performance across AI and backend systems.

Requirements

  • At least 2 years of hands-on experience building and shipping AI-powered systems in production.
  • Excellent Python skills, including OOP, performance-oriented design, profiling, optimization, and production-grade coding.
  • Hands-on experience with LLM and agent frameworks or SDKs such as OpenAI, Google GenAI, Agents SDK, Google ADK, or LangChain.
  • Hands-on experience with the Hugging Face ecosystem, including Transformers, Diffusers, Accelerator, and PEFT.
  • Familiarity with diffusion and autoregressive architectures in real-world production environments.
  • Solid understanding of prompt engineering and systematic prompt performance improvement.
  • Experience building node-based or workflow-driven AI pipelines such as ComfyUI, n8n, or fal.
  • Familiarity with fundamental ML algorithms and data analysis.
  • Familiarity with serverless architectures for AI inference workloads, including service design, autoscaling, cold starts, and cost-performance trade-offs.
  • Familiarity with Firebase and GCP tools such as Firestore and Cloud Functions.
  • Strong backend fundamentals, including API design, system architecture, database design, scalability, reliability, and edge-case handling.
  • Kubernetes experience is a strong plus.
  • FinOps awareness, including cost drivers, usage optimization, and cloud or LLM cost control strategies.
  • Strong command of English at B2 level or higher, written and verbal.
  • Proactive, self-directed, fast-moving, and comfortable working at a startup pace.

Benefits

  • Competitive salaries with real recognition for strong performance.
  • Monthly transportation allowance for hybrid or office work.
  • Daily meal card for lunch.
  • Private health insurance with premium coverage.
  • Yearly education and learning budget.
  • Impact at scale, with work used by millions of users worldwide.
  • Ownership from day one with a small team and no micromanagement.

Interested in this position?

Apply directly on the company website

Apply Now

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