Who We Are

• Build and deploy AI/ML models that don’t just sit in notebooks, they power real transformations across SaaS and PE-backed companies.
• Tinker with RAG pipelines, LLMs, and multi-agent systems to push the boundaries of what AI can automate.
• Collaborate directly with investors, execs, and founders, translating big visions into working AI products.
• Keep an eye on the latest LLM and AI research and bring fresh ideas back to the team.
• Be a voice in shaping not just our tech, but our culture and DNA as a firm.

• You’re fluent in Python and well-versed in ML frameworks (PyTorch, TensorFlow, Hugging Face).
• You’ve played with automation tools (like n8n, Airflow, or Zapier) and know how to stitch together APIs, workflows, and data pipelines to make systems talk to each other.
• You’ve got some scars (and wins) from building production-ready AI systems on AWS/GCP/Azure.
• You know your way around LangChain, vector databases, and MLOps tools, or you’re eager to dive in.
• You thrive in startup mode: messy problems, fast pivots, creative solutions.
• You’re as comfortable discussing embeddings as you are joking on Slack.

• Experience in consulting, SaaS, or PE-backed environments.
• An interest in responsible AI, compliance, or governance.
• Contributions to open-source AI projects (or side projects you love showing off).

• Impact from Day 1: You won’t be a cog in the machine; you’ll help design the machine.
• Culture of Curiosity: We geek out about AI and celebrate wins with GIF battles.
• Hybrid in Austin: Collaborate in-person for whiteboard sessions (and tacos), while still keeping the flexibility you need.
• Serious Business, Not Boring Business: Our clients are high-stakes, but we keep our vibe human and fun.
• Competitive comp + equity: Be rewarded for building with us, not just working for us.