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About the role

As a Promt Engineer you will design, develop, and optimize Promt (Prompt + Model) systems that facilitate natural and interactive human-AI interactions. You will focus on enhancing the quality, coherence, and relevance of AI-generated prompts and responses, ensuring that AI systems can understand user input, generate contextually appropriate outputs, and effectively engage in dynamic conversations.

Minimum qualifications

• Bachelor's in Computer Science, Engineering, or related field.
  
• 1-2 years of industry experience in natural language processing, dialogue systems, or related fields.
• Proficiency in programming languages such as Python, with experience using NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK, etc.).
• Knowledge of text2SQL
• Strong understanding of language modeling, text generation, and machine learning techniques.
• Experience with neural network architectures for NLP tasks, such as transformers, recurrent neural networks (RNNs), and sequence-to-sequence models.
• Familiarity with dialogue management, context modeling, and conversational AI principles.
• Hands-on experience with fine-tuning and optimization of pre-trained language models.
  

Preferred qualifications

• Experience in the payments, banking or accounting sector is a huge plus
• Experience with deploying AI systems into production environments.
• Familiarity with cloud platforms (AWS) and containerization technologies.
  
• Knowledge of reinforcement learning techniques for dialogue systems.
• Background in user-centered design and user experience (UX) principles.
  

Responsibilities

• Collaborating with cross-functional teams to design and implement Promt systems that integrate AI language models into various applications and platforms.
• Developing algorithms and strategies for generating and managing AI prompts and responses within a conversational context.
• Researching, experimenting with, and iterating on techniques to improve the performance of Promt systems in terms of understanding user intent and generating coherent and relevant responses.
• Fine-tuning language models to ensure alignment with user context and intent.
• Developing methods for context-aware language generation, considering previous interactions and maintaining coherent conversations.
• Implementing advanced neural network architectures, such as transformers, recurrent neural networks (RNNs), and sequence-to-sequence models, to improve language generation.

Benefits

• Well-funded and proven startup with large ambitions and competitive salaries.
• Entrepreneurial culture where pushing limits, creating and collaborating is everyday business.
• Open communication with management and company leadership
• Small, dynamic teams = massive impact
• 100% Remote Work (You choose where to work from)
• 500USD a year for you to invest in learning.

Simetrik considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.

Join a team of incredibly talented people that build things, are free to create and love collaborating!