Agentic AI Engineer

prompt engineering, LangChain,

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.

Bachelors/masters degree in computer science, AI, or related field, or equivalent experience.