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Summary:
The AI Engineer will play a critical role in designing and implementing cutting-edge AI solutions that are adaptable for real-world applications. This position is essential for the team as it focuses on optimizing processes and enhancing data models to meet the demands of a collaborative, international environment.
Main Responsibilities:
The AI Engineer will play a critical role in designing and implementing cutting-edge AI solutions that are adaptable for real-world applications. This position is essential for the team as it focuses on optimizing processes and enhancing data models to meet the demands of a collaborative, international environment.
Main Responsibilities:
- Design and implement production-grade AI models optimized for real-world applications.
- Create efficient data indexing architectures utilizing RAG, LiteRAG, or equivalent frameworks.
- Drive cross-functional collaboration to enhance internal systems and workflows.
- Develop and deploy scalable APIs for advanced data retrieval and processing.
- Establish robust quantitative and qualitative testing frameworks for AI solution evaluation.
- Advanced Python expertise with demonstrated proficiency in AI/ML libraries.
- Specialized knowledge in optimizing data indexing structures for AI search applications.
- Extensive experience working with Large Language Models (LLMs) and fine-tuning techniques.
- Proven track record building autonomous AI agents and sophisticated workflow systems.
- Demonstrated success integrating AI solutions with traditional software applications.
- Expert-level API development skills with emphasis on performance and scalability.
- Solid understanding of reinforcement learning and supervised fine-tuning for LLMs.
- Docker containerization expertise for AI application deployment.
- Kubernetes orchestration experience for managing complex AI workloads.
- Knowledge of Azure or Google Cloud Platforms, particularly with AI/ML services.
- Advanced text analysis capabilities including semantic understanding and NLP techniques.
- Familiarity with popular data analysis Python packages like NumPy, Pandas, and AI agent frameworks like PydanticAI.
- Prior experience in Machine Learning and Data Science.
- Location: International Team
- Commitment: Long-term commitment for mutual benefit
- Working Environment: Fewer meetings, more product iterations
- Dataset Size: Large dataset availability
Key Skills
Ranked by relevance
ai
python
containerization
machine learning
data analysis
pandas
cloud
numpy
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- Posted
- Apr 15, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Warsaw
- Company
- emagine
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Senior AI Engineer
2026-05-14
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Portugal
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View Job Details
Related
Python Engineer
2026-05-23
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Junior Data Scientist
2026-05-26
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