About the role
As a LLM Engineer you will be in charge of
selecting and refining the ML models and interactions for our AI-powered assistant. You will
design, develop, and optimize Promt (Prompt + Model) systems that facilitate natural and interactive human-AI interactions and 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
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Bachelor's in Computer Science, Engineering, or related field.
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1-2 years of industry experience in natural language processing, dialogue systems, or related fields.
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Proficiency with our core ML and LLM tech stack: Python ecosystem, Embeddings, Pytorch, Huggingface, Langchain, AWS (SageMaker, etc.) and
text2SQL.
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Strong understanding of language modeling, text generation, and machine learning techniques.
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Experience with neural network architectures for NLP tasks, such as transformers, recurrent neural networks (RNNs), and sequence-to-sequence models.
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Familiarity with dialogue management, context modeling, and conversational AI principles.
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Hands-on experience with fine-tuning and optimization of pre-trained language models.
Preferred qualifications
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Experience in the payments, banking or accounting sector is a huge plus
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Experience with deploying AI systems into production environments.
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Familiarity with cloud platforms (AWS) and containerization technologies.
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Knowledge of reinforcement learning techniques for dialogue systems.
Responsibilities
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Identify and fine-tune LLM models to optimize the performance of our AI-powered assistant.
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Collaborate with cross-functional teams to identify, design, and implement innovative ML solutions for real-time navigation and user interaction.
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Work on using LLMs and tools like LangChain to build agent-based workflows.
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Developing algorithms and strategies for generating and managing AI prompts and responses within a conversational context.
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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.
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Fine-tuning language models to ensure alignment with user context and intent.
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Developing methods for context-aware language generation, considering previous interactions and maintaining coherent conversations.
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Implementing advanced neural network architectures, such as transformers, recurrent neural networks (RNNs), and sequence-to-sequence models, to improve language generation.
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Participate in code reviews and provide mentorship to team members, fostering a culture of knowledge-sharing and continuous learning.
Benefits
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Well-funded and proven startup with large ambitions and competitive salaries.
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Entrepreneurial culture where pushing limits, creating and collaborating is everyday business.
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Open communication with management and company leadership
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Small, dynamic teams = massive impact
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100% Remote Work (You choose where to work from)
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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!