Requirements
Minimum of 5 years of work experience in developing conversational AI solutions, with a focus on chatbot development. Extensive familiarity with pertinent frameworks used in chatbot development, such as Dialogflow, Microsoft Bot Framework, Rasa etc. Capability to work autonomously and effectively in an asynchronous work environment. Strong proficiency in NLP/LLM and the ability to implement NLP techniques effectively. Experience in integrating chatbots with existing systems. Familiarity with AI and machine learning concepts. Excellent problem-solving skills and ability to troubleshoot technical issues. Strong documentation skills to create comprehensive and clear technical documentation.
About Braintrust What you'll be working on Braintrust is on a mission to provide unparalleled growth opportunities for the world's talent to thrive. We were founded by two serial entrepreneurs with multiple exits. To deliver on that mission, we operate the world's first decentralized talent network, powered by BTRST, our native cryptocurrency token. We've already laid some exceptional foundations for growth; In 3 years, we've grown our marketplace revenue by 50X. We have 500+ customers including Nestle, Nike, Porsche, Deloitte, Twitter, & Coursera to name a few. We've raised $142M in funding from leading Silicon Valley investors including Coatue, Tiger Global, Coinbase Ventures, IDEO, Blockchange, Uprising, True Ventures, Homebrew, ACME + more.
About the role: As an AI Engineer, you will be at the forefront of enhancing user experience by building an intelligent chatbot that interacts with clients in natural language. Leveraging our existing job posting systems and talent recommendation algorithms, you will play a crucial role in creating a user-friendly and efficient interface for clients to effortlessly manage their recruitment needs. Contract Duration is 3 months, with the possibility of extension based on project needs and performance.
Your Responsibilities Develop and deploy an intelligent chatbot that guides users through the job posting and talent review processes using natural language interaction. Craft a seamless conversation flow that anticipates user queries, ensuring a natural and intuitive interaction throughout the entire process. Integrate the chatbot seamlessly with our existing job posting systems and talent matching algorithms, utilizing API calls to interface with product applications. Implement Natural Language Processing (NLP) techniques and Large Language Model (LLM) to enable the chatbot to understand and respond to user inputs in plain English. Conduct thorough testing to identify and address any issues or improvements in the chatbot's functionality. Optimize the chatbot for performance and user satisfaction. Collaborate with cross-functional teams, including engineers and UX designers, to ensure seamless integration and a cohesive user experience.
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