Open to opportunities

Clarence Banks

@clarencebanks

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Senior AI engineer building production-ready GenAI and NLP systems focused on reliability and scale.

United States

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What I'm looking for

I’m looking for a team that builds dependable, understandable AI systems for real users—where I can bridge models and infrastructure. I want to tackle practical GenAI/NLP challenges around latency, cost, reliability, and failure modes with researchers and engineers.

I’m a senior AI engineer with 10 years building machine learning systems that actually run in production. Today, my work is focused on GenAI and NLP—taking language models and turning them into reliable, useful systems rather than one-off demos.

I’ve worked across the GenAI stack, including LLM integration, retrieval-augmented workflows, prompt design, model evaluation, and scalable inference. I also build and support text understanding, classification, extraction, and search systems, often combining traditional NLP techniques with modern large language models.

Most of my experience sits at the intersection of models and infrastructure. I spend a lot of time thinking about how these systems behave at scale—latency, cost, reliability, and failure modes—and I work closely with researchers, engineers, and product teams to bridge experimentation and production.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Anthropic

Jan 2025 - Present (1 year 3 months)

Led development of production GenAI and NLP systems, integrating LLMs with retrieval-augmented workflows and using prompt design and model evaluation to improve reliability at scale.

LLM Retrieval Augmented Generation (RAG)Prompt Engineering Model Evaluation NLP Information Retrieval

Senior AI | ML Engineer

Together AI

Nov 2022 - Dec 2024 (2 years 1 month)

Built and supported scalable GenAI and NLP workflows for text understanding, classification, extraction, and search, combining traditional NLP techniques with modern LLMs.

LLM Retrieval Augmented Generation (RAG)Prompt Engineering Model Evaluation

AI Software Engineer

CoreWeave

Feb 2019 - Aug 2022 (3 years 6 months)

Engineered production ML systems for GenAI and NLP use cases, focusing on scalable inference and operational reliability (latency, cost, and failure modes).

Retrieval Augmented Generation (RAG)Prompt Engineering Model Evaluation NLP Reliability Engineering

Machine Learning Engineer

Microsoft

Sep 2017 - Jan 2019 (1 year 4 months)

Developed machine learning systems for NLP tasks including classification, extraction, and search, bridging experimentation into reliable production workflows.

Machine Learning Engineering NLP Model Evaluation Data Pipelines Prompt Engineering Reliability Engineering