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About the role
Proficient in Prompt Engineering : Skilled in crafting and optimizing prompts for AI applications LangChain Expertise : Familiarity with integrating and designing AI workflows using LangChain and similar frameworks. Python Proficiency : Strong coding ability in Python, with a focus on AI-related libraries (e. g. , TensorFlow, PyTorch, OpenAI API). Cloud Experience : Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) for deploying and managing AI solutions. AI Lifecycle Management : Understanding of best practices for developing, deploying, and maintaining AI models across their lifecycle. Solid knowledge of SDLC processes, including secure coding practices, code reviews, and performance optimization. Bachelors/Masters degree in Computer Science, AI, or related field, or equivalent experience AI Software engineers to: Design and develop Agentic AI applications with a focus on prompt engineering , LangChain , and agentic AI frameworks . Build scalable, secure, and sustainable solutions using Python and modern programming techniques. Integrate cloud platforms (e. g. , Azure ) to deploy and manage AI models effectively. Conduct rigorous code reviews, testing, and debugging to ensure high-quality outputs. Enhance existing AI solutions while exploring new technologies to improve user experience and business outcomes.
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