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Radancy Logo Radancy · IT - Software Development

AI Tech Lead

Austria · Job Posted April 11, 2026
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Job Description

As a Tech Lead, you define the technical direction and architecture behind AI-driven products and services at scale. Working at the intersection of Data Science and Engineering, you lead the design and delivery of LLM-based systems that operate reliably in production. You’ll work in a modern, cloud-native environment, building services on AWS EKS and leveraging platforms like AWS Bedrock and Google Vertex AI.

Job Responsibility

  • Lead the design, delivery, and operation of AI-driven services
  • Architect and scale production-ready AI systems using large language models and agent frameworks
  • Partner with Data Science and Engineering to turn experiments into robust, scalable systems
  • Own service reliability, performance, security, and scalability
  • Shape the technical roadmap by identifying improvements and surfacing risks early

Requirements

  • Strong experience building and operating backend or platform systems in production
  • Hands-on experience with LLMs, agents, and patterns like RAG and orchestration
  • Proficiency in a backend/systems language (e.g. Scala or Rust)
  • Experience collaborating with Data Science teams using Python
  • Experience running services on AWS (Kubernetes/EKS preferred)
  • Familiarity with platforms like AWS Bedrock and/or Vertex AI
  • Solid system design skills (distributed systems, state, fault tolerance)
  • Ability to lead technically without direct line management

Nice to have

  • Experience operating AI systems under real constraints (latency, cost, reliability)
  • Experience evaluating and monitoring AI systems in production
  • Background in customer-facing SaaS platforms

What we offer

  • Ownership of high-impact AI initiatives with real customer impact
  • A modern stack: Scala, Rust, Python, AWS EKS, Bedrock, Vertex AI
  • The chance to shape how AI systems are built and operated at scale
  • Collaboration with experienced engineers, data scientists, and product leaders
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