Self-motivated Engineer with a solid grasp of AI/ML fundamentals and a relentless drive for innovation. This role requires an agile builder who can bridge the gap between model research and production-grade software with a product-focused mindset.

Key Responsibilities
+ Implement high-performance systems leveraging LLMs, Generative AI, and traditional ML to solve enterprise-scale problems.

+ Build and maintain RAG (Retrieval-Augmented Generation) workflows and data pipelines using Python and vector databases.

+ Refine model outputs through prompt engineering, fine-tuning, and latency optimization.

+ Write modular, scalable code and integrate AI services into cloud ecosystems (AWS, Azure, or GCP).

+ Rapidly integrate emerging frameworks like LangChain, LlamaIndex, and Hugging Face into production workflows.

+ Implement automated testing, model monitoring, and golden datasets to ensure reliability and safety.


Experien...