About this role
You've built agentic systems. You've shipped LLM-powered features to production. You know the difference between a cool demo and something that actually works at scale. And yet… somehow you're still spending most of your day writing CRUD endpoints. We're hiring an AI Native Staff Engineer at Carv. We build agentic AI systems in the recruitment space — and we need someone who's done this before, not someone who's just getting started. What You’ll Do Build AI-Native Product Systems Design and ship AI-powered product features end-to-end Architect systems where LLMs, agents, and traditional software work together Implement RAG pipelines, structured reasoning flows, and tool-using agents Continuously improve reliability, latency, and cost efficiency Engineer With AI at Full Leverage Use AI agents to accelerate development, testing, and architecture decisions Prototype rapidly and ship production-grade systems Set up internal AI tooling that multiplies team output Push the boundary of what’s possible with current models Own Impact, Not Experiments Translate product problems into scalable AI-powered solutions Measure real-world performance (accuracy, business impact, UX) Optimize for production robustness —> not just demo quality Shape Our AI-Native Engineering Culture Raise the bar for how we use AI internally Establish pragmatic standards for evaluation and iteration Mentor engineers on AI-native workflows Contribute to long-term technical direction What We’re Looking For You: Actively use LLMs in your daily workflow Have built agents, RAG systems, or AI-powered tools Care about practical reliability over theoretical elegance Think in orchestration, not just prompts Experiment constantly with new models and tools We care less about: Academic ML background Publishing papers Training models from scratch We care more about: What you’ve shipped How you use AI to move faster How you think about systems that include AI components Why Join Us We’re redefining recruitment with AI at the core of the product — not bolted on. You’ll: Work directly with experienced SaaS leadership (15+ years building in this space) Have real ownership over architecture and AI direction Built in a high-velocity, high-impact environment Help define what AI-native enterprise software looks like What’s in It for You Very competitive compensation package Meaningful stock options Top-tier tools (MacBook Pro + AI tooling budget) Hybrid setup + occasional travel Really make an impact