AI Product Engineer İş İlanı

AI Product Engineer Location: Istanbul, Türkiye — Hybrid Employment Type: Full-time Company: App Genie About App Genie App Genie builds and launches mobile and web products at extreme speed. Our approach is simple: understand the problem, make a decision, build, ship, learn, repeat. As AI becomes a core part of the products we build, we're looking for an AI Product Engineer who can turn ambitious AI ideas into real, production-ready experiences. Turn AI product ideas into working products in days, not weeks. This is not a research or prompt-engineering role. We're looking for a strong software engineer who knows how to build and ship modern AI products. What You'll Do You will own AI-powered features from idea → prototype → production. You'll: * Build AI features for mobile and web products. * Rapidly prototype new AI product ideas. * Work with models from OpenAI, Anthropic, Google and emerging AI providers. * Build LLM workflows using tool calling, structured outputs, memory, context management and agents. * Work with multimodal AI across text, image, video, vision and voice. * Build the backend services and APIs required to turn prototypes into reliable production systems. * Evaluate models based on quality, latency, reliability and cost. * Design evals, monitoring, fallbacks and testing for non-deterministic AI systems. * Work closely with Product, Design, Backend and Mobile teams. * Take ambiguous product requirements and independently turn them into technical decisions and working products. * Stay highly current with new models, APIs and AI development tools. What We're Looking For We care more about what you've actually built than which frameworks you can list. You should have: * Strong Python skills. * Solid software engineering fundamentals. * Experience building production backend systems and APIs. * Hands-on experience shipping AI-powered products or features to real users. * Experience with modern LLM APIs such as OpenAI, Claude or Gemini. * Strong understanding of prompt and context engineering. * Experience with tool/function calling, structured outputs and multi-step AI workflows. * Understanding of production AI trade-offs: quality, cost, latency and reliability. * Experience working with databases, cloud infrastructure and production deployments. * Strong ownership and ability to work with incomplete or ambiguous requirements. * Strong professional English. Experience with TypeScript / Node.js is a strong plus. We're roughly targeting 3–6 years of professional software engineering experience, but exceptional builders with less experience are absolutely welcome. Multimodal AI Is a Strong Plus We especially want to meet you if you've worked with: * Image generation or editing * Video generation * Vision models * Voice AI * Multimodal LLMs * ComfyUI / Diffusers * Replicate / RunPod / Modal * GPU inference * AI chat or companion systems You don't need to be a model researcher. You need to know how to turn these technologies into useful products. AI-Native Development We expect our engineers to use modern AI development tools extensively. You should be comfortable with tools such as: * Claude Code * OpenAI Codex * Cursor * GitHub Copilot * Similar AI-native engineering tools We care about speed, but not at the expense of engineering quality. Product Judgment Matters We're not looking for someone who automatically reaches for the most complex AI architecture. Sometimes the right solution is an agent. Sometimes it's RAG. Sometimes it's one well-designed model call. Sometimes it shouldn't use AI at all. You should be able to understand the product objective, evaluate the available approaches and make the right technical decision. You'll Stand Out If * You've launched your own AI product. * You've built a consumer AI app. * You've worked at an early-stage startup. * You've built production AI agents or complex AI workflows. * You've worked extensively with image or video generation. * You've optimized AI systems for inference cost and latency. * You actively experiment with newly released AI models. * You have side projects or products we can actually try. How We Work At App Genie, engineers aren't simply handed tickets. We expect you to: Understand the objective → investigate → recommend → build → validate → ship. You'll work with a small, execution-focused team where decisions happen quickly and good ideas can reach production immediately. We value ownership, speed, product judgment and things that actually work. How to Apply * Your CV or LinkedIn * Your GitHub, if available * Links to AI products or projects you've built * A short explanation of the most interesting AI product you've personally built * What part of that product you personally owned No cover letter required. We're far more interested in seeing what you've built.