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.
Your Team You'll be working in the Agentic Products crew, as part of the AI Transformation Stream in WMPC. Our team leverages the latest AI technologies to deliver value-driven solutions and agents for AI. As an AI Engineer, you'll play a key role in driving innovation and shaping the future of agents. We're a team that values collaboration, creativity, and continuous learning. Your Expertise
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 r