AI Engineer
Description For AI Engineer
Palup.ai is seeking a passionate and technically skilled AI Engineer to join their team. This role focuses on designing, developing, and implementing cutting-edge artificial intelligence solutions. The position requires expertise in machine learning, deep learning, and modern AI technologies including LLMs, RAG systems, and AI agents. The ideal candidate will work with cross-functional teams to solve complex problems and drive product innovation. This role offers an opportunity to work with state-of-the-art AI technologies and contribute to developing intelligent systems. The position requires a strong technical background in AI/ML, excellent programming skills particularly in Python, and experience with modern AI frameworks and tools. The role combines hands-on technical work with collaborative team efforts, making it ideal for someone who enjoys both deep technical challenges and cross-functional collaboration.
Responsibilities For AI Engineer
- Design and develop AI models, including machine learning and deep learning algorithms
- Clean, preprocess, and analyze large-scale datasets
- Integrate AI models into existing systems or applications
- Collaborate with data scientists, software engineers, and product managers
- Monitor and improve deployed AI systems
- Research latest AI technologies and trends
- Write technical documentation
- Develop and implement LLMs, RAG systems, and AI agents
- Design and build RAG pipelines
- Create autonomous AI agents
- Leverage graph-based AI techniques
Requirements For AI Engineer
- Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or related field (Master's or PhD preferred)
- 2-3 years of hands-on experience in AI, machine learning, or related fields
- Proficient in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, LangChain, LlamaIndex)
- Deep understanding of machine learning algorithms and deep learning frameworks
- Expertise in large language models (LLMs)
- Experience with RAG systems and vector databases
- Proficiency in building AI agents
- Knowledge of graph-based AI
- Experience with cloud platforms
- Strong problem-solving abilities
- Excellent communication skills
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