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Open nowPosted 431 days ago

AI Engineer

praxisiq.ai1 open role

Where
Austin, TX
Work mode
Hybrid
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Your applicationOpen nowAI Engineerpraxisiq.ai · Austin, TX

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on praxisiq.ai's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 431 days ago

The posting

Who We Are At PraxisIQ, we live at the intersection of AI + Private Equity + SaaS. We help investors and executives unlock the real value of AI, not hype, not endless whitepapers, but agentic AI systems that drive growth, sharpen competitive moats, and transform operations. We’re a small but mighty team of builders, strategists, and problem-solvers. Think startup energy meets boardroom impact. If you’re excited about working on the bleeding edge of AI adoption while shaping the culture of a growing firm, you’ll fit right in.

What You Will Do 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.

Who You Are 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. Bonus Points: 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).

Why Join Us? 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.

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