+ Develop and modify complex information system programs. Leads project teams and defines specifications for AI Model Development

+ Design and implement end-to-end AI applications using LLMs, multimodal models, and classical ML where appropriate. Integrate foundation models (e.g., GPT-style models, open-source LLMs) into scalable, reliable software systems.

+ Perform prompt engineering, fine-tuning, and adapter-based training (e.g., LoRA) to tailor models to domain-specific use cases. Evaluate trade-offs between fine-tuning vs. prompt-based vs. tool-augmented approaches.

+ Develop multi-step and multi-agent workflows using LLM orchestration frameworks. Implement guardrails, fallbacks, and human-in-the-loop patterns.

+ Collaborate with data engineers to build real-time, scalable data pipelines and deploy models into production environments using cloud platforms. Monitor model behavior, drift, hallucinations, and system performance in produc...