AI Prompt Engineer
1 week ago
We're a team of innovators at LogicMonitor, dedicated to creating a culture of trust, customer obsession, agility, and continuous improvement. Our values serve as the foundation of our culture, guiding our actions and driving us towards excellence.
We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers. Our teams coordinate their time in Centers of Energy to reflect how they work best.
LogicMonitor is proud to be an equal opportunity employer. We deeply care about our employees' well-being, fostering an environment where every individual is valued and respected. We celebrate the diversity of our team, and are committed to fostering a culture of inclusivity. Come as you are, be yourself, and let's grow together.
What You'll Do:
LM Envision, LogicMonitor's leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references.
Key Responsibilities:
Design and develop prompts that guide AI models to produce desired outputs, ensuring clarity, relevance, and contextual appropriateness.
Conduct extensive testing of prompts to evaluate their performance, making data-driven adjustments to enhance accuracy and efficiency.
Collaborate with data scientists, machine learning engineers, and product teams to understand requirements and integrate prompts into various applications.
Continuously monitor and optimize prompts to improve model performance, leveraging feedback and new research developments.
Maintain comprehensive documentation of prompt designs, testing methodologies, and performance metrics.
Ensure prompts are user-friendly and align with the needs and expectations of end-users, enhancing the overall user experience.
Requirements:
Bachelor's or Master's degree required in Computer Science, Engineering, Linguistics, Data Science, or a related field. Proven experience in NLP, machine learning, or a related area, with a strong understanding of AI model training and deployment. Proficiency in programming languages such as Python, along with experience in using AI/ML frameworks (e.g., TensorFlow, PyTorch).
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