
Artificial Intelligence Engineer
1 week ago
Role & responsibilities
Develop and deploy LLM-powered applications using OpenAI and similar frameworks.
Design and implement RAG pipelines to integrate domain-specific knowledge with generative AI.
Optimize model performance, prompt engineering, and fine-tuning for enterprise use cases.
Collaborate with data engineers and product teams to integrate AI solutions into business workflows.
Ensure compliance with security, scalability, and governance standards.
Required Skills & Experience:
Strong background in LLMs (OpenAI, Hugging Face, LangChain, etc.).
Hands-on experience with RAG architectures (vector databases, embeddings, retrieval frameworks).
Proficiency in Python and experience with cloud AI platforms (Azure, AWS, GCP).
Familiarity with MLOps practices and API-based deployment.
Strong problem-solving and collaboration skills.
Preferred candidate profile
We are seeking an AI Engineer with strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) solutions, and hands-on experience with OpenAI models. The ideal candidate will design, build, and optimize AI-driven applications, ensuring scalability, accuracy, and seamless integration with enterprise data systems.
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