VP AI
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Job Description
Lead the engineering behind Thunders.ai’s intelligent systems. You’ll own the architecture, build and grow the team, and set the execution culture for AI-powered products that solve real problems at scale. This is a hands-on leadership role for someone who wants to shape both the technology and the people building it. What you’ll own
• Architecture and strategy: Turn the product roadmap into scalable, reliable agent-based systems, and make the key technical calls (build vs buy, models, infrastructure).
• Team: Hire, lead, and develop a small, high-performing AI engineering team, with regular feedback and performance reviews.
• Execution: Run the team’s rituals (triage, spec reviews, retros) and an OKR process that ties individual and team goals to measurable impact.
• Reliability and LLMOps: Define and operate our LLMOps stack (evals, observability, cost control) and set the reliability and scalability targets for our systems.
• Culture: Build a collaborative, ethical, and psychologically safe team that lives our principles: Bias for Action, Frugality, Have Backbone; Disagree and Commit. Preferred Experience What you bring
• 8+ years in software engineering, including 2+ years building LLM/agent systems in production
• Experience leading and growing an AI engineering team (ideally 4-10 people), including hiring and performance management
• You’ve designed and operated an agent-based system with real customers, and you can explain the trade-offs you made (build vs buy, accuracy vs latency, autonomy vs control)
• A “production-first” mindset: observability, evals, failure modes, SLOs
• You still write code and unblock your team directly
• Experience running engineering rituals and OKRs that link team goals to measurable impact
• Professional English (French is a plus)
• You use AI tools every day, for everything Nice to have
• LLMOps ownership (evals, prompt/model versioning, cost monitoring)
• Experience in testing, QA, or developer tools •
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