OTAKOYI is looking for a smart and an eager Lead AI Prompt Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us!Main Responsibilities:— Communication with Stakeholders;— Work with RND Team;— Design, develop NLP/ML applications;— Collaborate with a team and client to ensure prompt alignment with project goals and user needs;— Monitor and analyze performance to identify areas for improvement;— Optimize AI prompt generation process
OTAKOYI is looking for a smart and an eager Lead AI Prompt Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us!Main Responsibilities:— Communication with Stakeholders;— Work with RND Team;— Design, develop NLP/ML applications;— Collaborate with a team and client to ensure prompt alignment with project goals and user needs;— Monitor and analyze performance to identify areas for improvement;— Optimize AI prompt generation process to enhance overall system performance;— Stay up-to-date on the latest advancements in AI, natural language processing and machine learning;— Provide support to teams in understanding prompt engineering best practices;— Draft and distribute reports on prompt performance and development progressRequirements:— Experience in Natural Language Processing / Machine Learning;— Proficient in Python and expertise in libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras;— Proven work experience as a AI Prompt Engineer, Data Scientist or similar role(at least 2 years);— English Level — Upper-Intermediate Strong — priority C1 Level (both spoken, written and reading as well);— Experience with cloud platforms like AWS, Azure, Google Cloud, and familiarity with big data technologies including Hadoop and Spark;— Modelling and DevOps experience for Machine Learning;— Experience with latest LLM models currently being rolled-out in consumer-facing generative AI tools;— Experience with AI tools and APIs like OpenAI (ChatGPT, Dall-e), DeepL or similar;— Experience with LangChain and LangSmith;* Experience with Docker and deploying APIs to cloud (will be a plus);— Comprehensive understanding of natural language processing, machine learning and AI-generated content development;* Relevant training and/or certifications in computer science, AI or a related field (will be a plus);— Excellent problem-solving and analytical skills;— Ability to collaborate effectively with cross-functional teams;— Ability to dive deep and understand the business side of the project;— Be able to communicate with stakeholders directly and independently;* Experience in writing academic papers, publications (will be a plus);* Experience working on healthcare/medical tasks previously (will be a plus);— Provide clear documentation of processes, workflows, recommendations, etc.Recruitment process: 1. Pre-Screening Interview with Recruiter (up to 30 minutes)*Optional English Check with English Teacher 2. Tech-Interview with CTO and PM (up to 1 hour)3. Client-Interview (up to 1 hour)