Roles and Responsibilities:
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.
Expertise Skill:
- 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.
