Agent Developer

Responsibilities:

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  Design, develop, and implement AI agents using state-of-the-art machine learning and natural language processing techniques.
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  Collaborate with cross-functional teams to integrate AI agents into various applications and platforms.
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  Conduct research to advance the capabilities of AI agents, including improving their conversational abilities, decision-making processes, and adaptability.
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  Optimize and fine-tune AI models for performance, scalability, and efficiency.
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  Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to enhance our products.
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  Experience With Vertex AI Platform, Along with Conversational Agent, DialogFlow
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  Understanding of Prompt Engineering, Agentic Framework, Google ADK, MCP, RAG
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  Debug and troubleshoot issues related to AI agent performance and functionality.
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  Document development processes, code, and research findings.

Requirements

Requirements:

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  Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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  Proven experience in developing AI agents or similar applications
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  Proven experience in GCP Landscape and Vertex AI.
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  Strong programming skills in languages such as Python or Java..
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  Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
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  Knowledge of natural language processing (NLP) techniques and tools.
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  Familiarity with reinforcement learning and other AI methodologies.
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  Excellent problem-solving skills and attention to detail.
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  Strong communication and teamwork abilities.