Join our mission to harness the power of Generative AI (LLMs and Agents) to tackle some of today’s most pressing cybersecurity challenges. As a Lead AI Engineer, you will be at the forefront of innovation, driving significant breakthroughs for security teams.
Your Contributions to Our Journey:
- Innovate and Lead: Spearhead the design and development of cutting-edge AI model
architectures and capabilities.
- Drive Product Innovation: Implement state-of-the-art machine learning algorithms and
techniques to revolutionize our products.
- Create Intelligent Workflows: Design and implement agentic workflows using advanced
libraries like LangGraph, blending proprietary and open-source models.
- Shape the Future of AI Products: Contribute to the development of products powered by
LLMs and deep learning techniques, implementing ML- and LLM-Ops best practices.
- Collaborate and Integrate: Work closely with team members to seamlessly integrate AI
solutions into our products.
- Optimize Data Pipelines: Partner with data ingestion specialists to refine workflows for
efficient model training and deployment.
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Experiment and Evaluate: Design and conduct experiments to rigorously test and enhance
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Deep Expertise: A profound understanding of the theoretical foundations of machine
learning.
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Proven Experience: Multiple years of experience developing AI models for SaaS products.
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Technical Mastery: Fluency in at least one deep learning framework (e.g., TensorFlow,
PyTorch, etc.).
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LLM Proficiency: Experience with LLMs and the emerging field of prompt-engineering.
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Problem-Solving Prowess: Excellent problem-solving skills with the ability to thrive in a
fast-paced startup environment.
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Communication Excellence: Outstanding communication and relationship-building skills.
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Agile Innovation: Ability to quickly prototype and iterate on MVPs to test and validate new
ideas.
- A Masters’ degree (or Phd) in related fields: Ai/LLM/ etc. from a reputable academic institution.
Contact Detail:
Cherry Ventures Recruiting Team
