Position Overview: We are seeking a skilled AI Engineer with a strong background in Large Language Models (LLMs) and Generative AI (GenAI). This role focuses on creating intelligent agents, copilots, and advanced workflows powered by state-of-the-art LLMs, while also pushing forward the boundaries of generative model development, optimization, and integration.

Key Responsibilities:

. Agentic AI Applications: Architect, build, and deploy agent-based systems (chatbots, copilots, multi-agent frameworks) leveraging large language models and tool orchestration frameworks.

. Generative AI Model Engineering: Design and optimize generative AI solutions using models like GPT, Claude, Gemini, and LLaMA contribute to model innovation (GANs, VAEs, transformers).

. RAG & Workflow Design: Implement Retrieval-Augmented Generation (RAG) pipelines, reasoning chains, and multi-step workflows for robust enterprise AI systems.

• Prompt Strategy & Evaluation: Develop, refine, and evaluate prompt engineering techniques to enhance model performance and consistency.
• LLMOps & MLOps: Lead the full lifecycle of AI models, from data preprocessing and model fine-tuning to monitoring, evaluation, and deployment with MLOps/LLMOps best practices.
• Cross-Functional Collaboration: Partner with engineering, product, and design teams to translate business goals into scalable AI solutions.
• Research & Innovation: Stay ahead of GenAI and Agentic AI advances, proactively experimenting with new techniques and frameworks.
• Documentation & Knowledge Sharing: Produce comprehensive documentation and mentor team members in best practices.