• 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.
• 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.
• Bachelor’s/Master’s degree in Computer Science, AI, or related field, or equivalent experience.
