AI Innovations Engineer
1 miesiąc temu
We are seeking a highly skilled AI Innovations Engineer to join our team at Square One Resources Sp. z o.o.
**About the Role:**
As an AI Innovations Engineer, you will be responsible for designing and developing innovative GenAI solutions using Large Language Models (LLMs). Your primary focus will be on integrating LLMs into scalable, robust, and fair end-user applications, ensuring excellent user experience, relevance, and real-time performance.
**Responsibilities:**
- Collaborate with ML & MLOps engineers, product owners, and other developers in Agile teams to integrate LLMs into end-user applications.
- Design, develop, customize, optimize, and fine-tune LLM-based algorithms tailored to specific use cases such as text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc.
- Design data pipelines to curate, preprocess, and structure datasets that improve LLM-based algorithm performance and reduce biases, focusing on data quality and diversity.
- Develop and optimize prompts to guide LLM outputs, enhancing performance for specific tasks, working closely with subject matter experts, business analysts, prompt engineers, and other stakeholders.
- Conduct rigorous experimentation, including A/B testing, to evaluate algorithm performance against benchmarks and control groups; use metrics specific to generative AI as well as pre-GenAI techniques, as required.
- Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, setting up cloud infrastructure and APIs; ensure robust logging, experiment tracking, and model monitoring.
- Implement techniques to identify and mitigate biases in LLM outputs, ensuring responsible and ethical AI deployment.
**Requirements:**
- 3+ years of experience working with advanced machine learning algorithms.
- 3+ years of hands-on experience working with language models, especially those based on Transformer architectures (e.g. BERT, T5, RoBERTa), and at least 1 year of experience with generative large language models (e.g. GPT, LLaMA, Claude, Cohere, etc.).
- Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Expertise with Transformers architectures, LangChain, or similar LLM ecosystems.
- Experience with designing end-to-end RAG systems using state-of-the-art orchestration frameworks.
- Practical overview and experience with AWS services to design cloud solutions.
- Experience with working with GenAI-specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart.
**What We Offer:**
- A competitive salary of $120,000 - $180,000 per year, depending on experience.
- A yearly bonus system.
- A training budget.
- Medical care.
- Sport card.
- Possibility of remote or hybrid work.
- Opportunity to work with high-class developers, learn, and share knowledge within and between teams.
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