AI Engineer
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Before you apply
LocationAustin, TX, Austin, United States
Work modehybrid
Typefull-time
DepartmentEngineering
EquityIncluded
Company size1+ people
PostedAug 19, 2025 · 1y ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Aug 19, 2025
At a glanceSummarised by Seekless from the posting.
Fluent in Python and well-versed in ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience with automation tools (like n8n, Airflow, or Zapier) and know how to stitch together APIs, workflows, and data pipelines
Experience building production-ready AI systems on AWS/GCP/Azure
Thrive in startup mode: messy problems, fast pivots, creative solutions
Comfortable discussing embeddings and joking on Slack
Knowledge of LangChain, vector databases, and MLOps tools
Experience in consulting, SaaS, or PE-backed environments
Interest in responsible AI, compliance, or governance
Contributions to open-source AI projects or side projects
Skills
Python
PyTorch
TensorFlow
Hugging Face
n8n
Airflow
Zapier
AWS
GCP
Azure
LangChain
vector databases
MLOps
Benefits
Equity
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
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Build and deploy AI/ML models that don’t just sit in notebooks, they power real transformations across SaaS and PE-backed companies.
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Tinker with RAG pipelines, LLMs, and multi-agent systems to push the boundaries of what AI can automate.
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Collaborate directly with investors, execs, and founders, translating big visions into working AI products.
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Keep an eye on the latest LLM and AI research and bring fresh ideas back to the team.
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Be a voice in shaping not just our tech, but our culture and DNA as a firm.
Who You Are
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You’re fluent in Python and well-versed in ML frameworks (PyTorch, TensorFlow, Hugging Face).
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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.
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You’ve got some scars (and wins) from building production-ready AI systems on AWS/GCP/Azure.
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You know your way around LangChain, vector databases, and MLOps tools, or you’re eager to dive in.
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You thrive in startup mode: messy problems, fast pivots, creative solutions.
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You’re as comfortable discussing embeddings as you are joking on Slack.
Bonus Points:
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Experience in consulting, SaaS, or PE-backed environments.
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An interest in responsible AI, compliance, or governance.
•
Contributions to open-source AI projects (or side projects you love showing off).
Why Join Us?
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Impact from Day 1: You won’t be a cog in the machine; you’ll help design the machine.
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Culture of Curiosity: We geek out about AI and celebrate wins with GIF battles.
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Hybrid in Austin: Collaborate in-person for whiteboard sessions (and tacos), while still keeping the flexibility you need.
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Serious Business, Not Boring Business: Our clients are high-stakes, but we keep our vibe human and fun.
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Competitive comp + equity: Be rewarded for building with us, not just working for us.