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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