Machine Learning
hace 2 semanas
Acai Travel is a fast-growing B2B AI SaaS startup transforming the travel industry with AI-driven technology. We're backed by top industry veterans and have teams in New York and Barcelona. Our company is led by experienced leaders, including Pavel Pratyush (ex-Manomano, eBay) heading up Engineering.
About the Role
We're looking for a Machine Learning & Prompt Engineer to apply machine learning principles to the design, development, and optimization of prompts used in large language models. You will treat prompt engineering like a traditional ML model, where the training parameters are pieces of text that need to be continuously evaluated, tested, and improved.
Key Responsibilities
• Develop and implement a machine learning approach to prompt design, treating text parameters as you would with model weights
• Set up validation frameworks to rigorously test prompt performance and create feedback loops for continuous improvement
• Build training sets, test sets, and the necessary infrastructure to support prompt iteration and optimization
• Collaborate with engineering to integrate prompts seamlessly into our production environment, focusing on distributed systems and scalability
• Implement observability practices to monitor the real-time performance of prompts and adjust them to optimize handling of 100K+ LLM calls per month
• Act as the bridge between engineering, product, and subject matter experts to refine prompt strategies and improve LLM responses
• Work with our tech stack (Golang, CI/CD, distributed architecture) to ensure that prompt frameworks can scale as we grow
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