Data & AI Infrastructure
Data Platform Engineer We're seeking an exceptional Data Platform Engineer to build and scale production AI systems for our portfolio of Series A–C companies. You'll work on cutting-edge AI infrastructure, ship features that directly impact product velocity, and help define what great AI engineering looks like in a growth-stage context.
What you'll do. 🚀 Design and build production data platform systems from scratch 🔄 Own the full development lifecycle from requirements to deployment and monitoring 🤝 Collaborate with product and research teams to ship AI features that scale 📝 Write clean, maintainable code with comprehensive tests and documentation ⚡ Optimize for performance, reliability, cost, and latency at production scale 📚 Stay current with the latest research, tools, and best practices in AI engineering What we're looking for. Requirements 3+ years of production experience building and shipping AI/ML systems (or 5+ for senior roles) Strong programming skills in Python and experience with modern AI frameworks (PyTorch, TensorFlow, JAX) Deep understanding of LLMs, transformers, and the latest AI research Production experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes) Strong systems thinking — you understand trade-offs between accuracy, latency, cost, and reliability Growth-stage experience preferred — you thrive in fast-moving, ambiguous environments Nice to have Open-source contributions or published research in AI/ML Experience working at an AI-first company or research lab Familiarity with the latest AI tools, frameworks, and models Strong writing and documentation skills Experience mentoring or leading junior team members 🛠️ Tech stack. Python, TypeScript/JavaScript
PyTorch, TensorFlow, scikit-learn
LLMs: OpenAI, Claude, Gemini, open-source models
Vector DBs, SQL, NoSQL
Docker, Kubernetes, CI/CD
AWS/GCP/Azure
FastAPI, Flask, or similar frameworks
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