Senior AI Native Software Engineer

Overview

Senior AI-native software engineer to build and ship end-to-end AI-driven products within autonomous product teams. You’ll combine strong engineering fundamentals with product judgment to solve ambiguous customer problems, delivering scalable, secure software in production. AI is central to both what you build and how you build, with coding agents and AI tooling embedded in the workflow. You’ll own architecture, data models, APIs, and user experiences, driving impact from prototype to scale.

Pay / Benefits

• up to 30 days’ vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work

Responsibilities

• Architect and ship full-stack product capabilities (backend, frontend, APIs, data models, integrations, AI systems, UI)
• Collaborate with product managers and designers to translate problems into high-quality products
• Balance speed with scale, security, and reliability; decide when to optimize or invest
• Design and implement agentic AI systems, including model interactions, tools, retrieval, orchestration, observability, and guardrails
• Operate in an AI-native engineering model with context, tests, CI, and evaluation systems for agent outputs
• Set technical direction and make architecture decisions from prototype to production
• Own production outcomes including reliability, security, performance and maintainability
• Raise engineering standards through reviews and shared practices across AI-native teams

Key requirements

• 8+ years of production software experience
• 8+ years full-stack development experience
• 8+ years software engineering fundamentals (system design, data modeling, APIs, testing, cloud-native, security, observability, production ops)
• 2+ years hands-on AI-native engineering experience (LLM APIs, coding agents, agent frameworks, tool integrations, retrieval systems, evaluation frameworks, or production guardrails)
• 1+ year building reliable AI/agentic systems from zero to production
• Bachelor’s degree or equivalent work experience (minimum 12 years); if Associate’s degree then minimum 6 years work experience

• Excellent judgment under ambiguity
• Strong product instincts for usefulness and usability
• Clear technical communication with product managers, designers, customers, and domain experts
• AI-native engineering workflows
• LLM APIs and agent frameworks
• Tool integrations and retrieval systems

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