AI Developer (5+)
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Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects
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Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs
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Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling
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Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations
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Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows
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Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies
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Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organization’s (Gen)AI capabilities
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Lead the technical execution of proof-of-concepts (PoCs) in an agile environment
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Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures
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