AI Engineer
Skyers
- מספר מקומות
We're hiring a hands-on AI Engineer to lead the development of intelligent systems for our real estate AI platform.
This role requires strong Python skills, experience with GPT agents, and building custom AI models.
Youll work with structured and unstructured data, develop RAG pipelines, and implement LLM-powered features.
Were looking for someone who can take ownership of AI feature design, collaborate with product and engineering teams, and continuously optimize model performance.
If you're passionate about creating impactful, real-world AI solutions, we want to hear from you!
This role requires strong Python skills, experience with GPT agents, and building custom AI models.
Youll work with structured and unstructured data, develop RAG pipelines, and implement LLM-powered features.
Were looking for someone who can take ownership of AI feature design, collaborate with product and engineering teams, and continuously optimize model performance.
If you're passionate about creating impactful, real-world AI solutions, we want to hear from you!
Requirements:
Requirements:
Strong Python skills with 3+ years of experience in AI/ML projects
Hands-on experience with GPT agents (e.g., LangChain, OpenAI tools, etc.)
Deep understanding of Retrieval-Augmented Generation (RAG) and vector databases
Proven ability to work with large datasets, including data cleaning, transformation, and optimization
Experience in training and fine-tuning models from scratch using frameworks like PyTorch or TensorFlow
Familiarity with LLM hosting, inference, and performance tuning
Self-driven, curious, and capable of independently solving complex problems
Nice to Have:
Understanding of data privacy and security in AI applications
Cloud deployment experience (e.g., Firebase, AWS, GCP)
pipelines
Requirements:
Strong Python skills with 3+ years of experience in AI/ML projects
Hands-on experience with GPT agents (e.g., LangChain, OpenAI tools, etc.)
Deep understanding of Retrieval-Augmented Generation (RAG) and vector databases
Proven ability to work with large datasets, including data cleaning, transformation, and optimization
Experience in training and fine-tuning models from scratch using frameworks like PyTorch or TensorFlow
Familiarity with LLM hosting, inference, and performance tuning
Self-driven, curious, and capable of independently solving complex problems
Nice to Have:
Understanding of data privacy and security in AI applications
Cloud deployment experience (e.g., Firebase, AWS, GCP)
pipelines
This position is open to all candidates.
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