Gen AI Architect with Agentic Al and Python

Gen AI Architect

Location – McLean, VA hybrid

Skills: Agentic Al and Python.

JD-
domain expertise in GenAl and key ML use cases.

history of being a hands-on coder
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Generative Al and Agentic Al systems development: Design and implement RAG architectures for LLM solutions.

Model Behavior Analysis: Evaluate Al outputs for relevance, consistency, and tone, and work closely with the team to refine model responses.

Build validation frameworks and experiments to achieve continuous improvements in model performance.

• Prompt Library Development: Create and maintain reusable prompt templates and frameworks that ensure consistency and scalability across multiple use cases.
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Demonstrable experience working with LLMs (e.g., GPT-4, Claude, LLaMA) and machine learning models.

Proficiency in Python or other scripting languages.
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Strong background in model development, refinement, and validation with experience in deploying models in production or achieving specific business outcomes.

• Expertise in natural language processing (NLP), with an understanding of how LLMs generate, interpret, and respond to complex prompts.