
Creative AI Engineer
2 days ago
At the forefront of innovation, you'll join a dynamic team shaping the future of generative AI. As a highly skilled engineer, your expertise in Python, LLMs, and Agentic Workflows will drive the development of next-generation AI applications.
Key Responsibilities:
- Develop and implement cutting-edge generative AI solutions using LLMs and RAG techniques.
- Design and optimize AI agents that automate tasks and enhance decision-making processes.
- Fine-tune pre-trained models for specific use cases and improve their performance on domain-specific tasks.
- Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services.
- Conduct research on emerging deep learning techniques and architectures.
- Develop scalable AI pipelines that streamline data processing, model training, and deployment processes.
- Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles.
Required Skills:
- Large Language Models (LLMs): Proven expertise in fine-tuning, prompt engineering, and integration into production systems.
- Retrievale-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy.
- Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks.
- Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications.
- Deep Learning: Strong foundation in deep learning principles and architectures.
- Generative AI: Comprehensive understanding of generative AI techniques and their practical applications.
What We Offer:
A high-growth environment where you can contribute to a larger cause and personally grow through unique exposure. We value autonomy, freedom, and professional challenges.
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