Generative AI Engineer
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Job Description
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Design, develop, and deploy AI/ML and Generative AI solutions.
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Build and optimize machine learning models for prediction, classification, and automation.
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Develop AI applications using Large Language Models and RAG frameworks.
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Create and maintain AI agents, chatbots, and intelligent automation workflows.
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Fine-tune and evaluate AI models for accuracy, scalability, and performance.
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Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
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Apply responsible AI practices, including security, privacy, and ethical considerations.
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Stay up to date with advancements in AI, machine learning, and cloud-native AI services.
What you need to bring
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2–4 years of experience in AI/ML, Data Science, or Software Engineering.
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Strong programming skills in Python.
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Hands-on experience with Machine Learning, Deep Learning, and model development.
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Knowledge of Generative AI, LLMs, and prompt engineering.
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Experience with frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, OpenAI, or Azure OpenAI APIs.
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Understanding of RAG architectures, vector databases, and embeddings.
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Experience working with REST APIs and microservices.
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Familiarity with Git, CI/CD, and Agile methodologies.
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Preferred: experience with AI agents, cloud platforms, MLOps, NLP, Computer Vision, or Conversational AI.
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A degree in Computer Science, Artificial Intelligence, Data Science, or a related field; certifications are a plus.
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