AI Product Engineer

At Curiosity Technology
, we build real-time, multilingual AI-powered solutions that connect people with technology in physical environments.

Our products,
Port Assist and SelamAI
, combine conversational AI, voice technologies, intelligent navigation, and real-time systems to deliver seamless experiences across airports, shopping malls, and other public spaces.

We're looking for a hands-on AI Product Enginee
r who can take ownership of production systems, maintain and optimize AI models, review code, and help us build reliable, scalable products.

We value engineering judgment, ownership, and execution over titles and buzzwords.

• Code Quality & PR Reviews: Review pull requests, enforce coding standards, identify architectural weaknesses, and catch bugs, security vulnerabilities, and technical debt, including issues introduced by AI-generated or vibe-coded code.
• AI Model Operations: Deploy, monitor, maintain, update, and optimize AI/LLM models and inference pipelines in production environments.
• Software Engineering: Contribute directly to backend and frontend development, debugging, refactoring, performance optimization, and feature delivery.
• Dev Sec Ops  & Infrastructure: Support CI/CD pipelines, containerized deployments, infrastructure monitoring, vulnerability management, and secure software delivery.
• Production Reliability: Investigate incidents, troubleshoot complex issues, perform root‑cause analysis, and ensure system stability.
• Real‑Time AI Systems: Improve conversational AI pipelines involving LLMs, speech‑to‑text (STT), text‑to‑speech (TTS), and real‑time communication.
• Indoor Navigation: Support the development and maintenance of indoor mapping, routing algorithms, and intelligent navigation features.
• Agile Delivery: Manage engineering tasks, participate in sprint planning, and maintain clear technical documentation using Jira or similar tools.
• Operational Support: Participate in a 24/7 on‑call rotation when required, including remote troubleshooting and occasional on‑site interventions.

• Solid understanding of Git workflows, branching strategies, pull requests, code reviews, and collaborative software development.
• Ability to critically review AI-generated code, detect subtle logic errors, security risks, and maintainability issues, and improve code quality.
• Hands‑on experience with AI/ML model deployment, inference, monitoring, and production maintenance.
• Strong understanding of Dev Sec Ops  principles, CI/CD, secure coding, dependency management, and vulnerability remediation.
• Experience with Docker, Linux, REST APIs, and production infrastructure. Kubernetes knowledge is highly desirable.
• Familiarity with LLM architectures, RAG systems, model serving, and GPU‑based inference environments.
• Experience working with Jira, Scrum, Agile workflows, and structured software delivery processes.
• Strong troubleshooting skills, technical ownership, and the ability to work independently in a fast‑moving startup environment.
• Professional working proficiency in English.
• Ability to work on‑site at our Istanbul office and reliably commute when required.
• Availability to participate in scheduled on‑call duties and respond to critical production incidents outside regular business hours.

• Experience with Live Kit, WebRTC, real‑time voice AI, STT/TTS, or voice activity detection.
• Experience with vLLM, Hugging Face, PyTorch, fine‑tuning, or local/on‑premise AI deployments.
• Experience with MicroK8s, Kubernetes, NVIDIA GPU infrastructure, or AI inference optimization.
• Knowledge of indoor navigation, GIS, graph algorithms, route optimization, or digital mapping.
• Experience with React, Next.js, FastAPI, PostgreSQL, and vector…