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java python tensorflow pytorch scalaπ Description
- Partner directly with cofounders to set AI engineering strategy.
- Hire, lead, and mentor a founding AI engineering team.
- Act as a player-coach, contributing hands-on architecture and training.
- Design scalable ML infrastructure for training, deployment, monitoring.
- Lead development of agentic applications for real-world customers.
- Establish data quality, labeling, and ML pipelines best practices.
π― Requirements
- 8-10 years of backend software engineering experience, with 2+ years leading AI/ML teams.
- Hands-on experience training AI/ML models, including foundation models and fine-tuned models.
- Proven experience building and deploying agentic applications with orchestration.
- Strong track record of launching AI models and agents into production at scale.
- Advanced expertise in machine learning, deep learning, and reinforcement learning.
- Experience designing scalable data systems and pipelines for training and inference.
- Fluency in backend and ML-oriented languages such as Python, Java, Scala, or C++.
- Knowledge of ML toolkits/frameworks (PyTorch, TensorFlow, Hugging Face, LangChain).
π Benefits
- Base pay $250,000 - $300,000/year plus 20% bonus and equity options.
- Medical, vision, and dental coverage.
- 401(k) retirement plan.
- Short- and long-term disability and life insurance.
- Paid parental leave.
- 10+ paid holidays and unlimited PTO.
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