Applied AI Engineer (Member of Technical Staff)
P
Prophet SecurityAI, Cybersecurity
United States, CanadaFull-TimeLead
Salary$150K - $273K; $150K – $273K • Offers Equity
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Job Details
- Languages
- English
- Required Skills
- AWSPythonArtificial IntelligenceData AnalysisMachine LearningGoRESTful APIs
Requirements
- Proven track record of shipping LLM-powered products or features, and/or personal projects using LLMs.
- Familiarity with prompt engineering, Retrieval-Augmented Generation, and other techniques to improve the performance of LLMs on domain-specific problems.
- Understanding of foundation model APIs, context engineering, model evaluation, fine-tuning techniques, and safety considerations.
- Prior experience in building machine learning/NLP systems.
- Passionate about LLM research and keeping up to date with developments in machine learning and Generative AI.
- Experience and/or interest in designing and scaling engineering systems, with a focus on machine learning and LLMs, and ability to write production code.
- Excellent communication skills.
Responsibilities
- Lead the architecture, design, and development of our Agentic AI platform.
- Use in-context learning, prompt engineering, and retrieval-based context augmentation methods to improve LLM performance on security-specific tasks.
- Shape the architecture of our machine learning solutions, making strategic decisions on model configurability, portability, and cost.
- Design evaluation methodologies, guidelines, metrics, and infrastructure to measure the performance of our machine learning systems.
- Stay at the forefront of NLP/ LLM research and explore the potential of new foundation models on domain-specific tasks.
- Establish comprehensive guardrails for safe and responsible use of LLMs.
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