Role & responsibilities
Were looking for 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.
Preferred candidate profile
Minimum Bachelors/Masters degree in Computer Science, AI, or related field, or equivalent experience.
At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
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.

Keyskills: Tensorflow Artificial Intelligence LLM Machine Learning Python Pytorch Scikit-Learn