Role Overview
We are looking for an AI Engineer to work on identifying, shaping, and prototyping AI-driven solutions for real-world business problems. This role will focus on experimentation, rapid prototyping, and translating problem statements into workable AI approaches.

Key Responsibilities
•Work on problem statements to identify where AI/ML/LLMs can create meaningful impact
•Build rapid prototypes and proof-of-concepts (POCs) using Python and ML/LLM frameworks
•Develop and experiment with LLM-based applications using APIs and frameworks (e.g., LangChain)
•Support data exploration, feature engineering, and model experimentation
•Collaborate with stakeholders to refine use cases and solution approaches
•Document findings and contribute to repeatable solution patterns
•Work with delivery teams to handover validated approaches for execution

Required Skills
•Strong proficiency in Python
•Hands-on exposure to PyTorch or TensorFlow
•Basic understanding of LLM APIs and applications
•Curiosity and ability to work with ambiguous problem statements

Good to Have
•Exposure to LangChain or similar frameworks
•Familiarity with MLflow or experimentation tracking tools
•Basic understanding of Docker / deployment workflows
•Awareness of CI/CD practices

What We’re Looking For
•Strong problem-solving mindset
•Ability to learn quickly and experiment
•Interest in applied AI use cases over pure engineering