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Infron

Founding AI Engineer

Career Insights for Natural Language Processing Engineer

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What they do

A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.

$158,568 / year median in California

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Job Description

Founding AI Engineer at Infron Founding AI Engineer at Infron in Redwood City, California Posted in about 22 hours ago.

Type:

full-time Infron has built a fast-growing AI Gateway product and works with some of the most innovative AI startups. We are backed by Antler and based in San Mateo, California. As an Applied AI Engineer, you will play a central role in building our next-generation product. The product helps customers transform large volumes of unstructured data into accurate, structured outputs through continuously improving AI harnesses and customized asynchronous inference. What You'll Do Build and rapidly iterate on prototypes, turning promising ideas into reliable, production-ready product capabilities. Play a key role in developing the product's core components, including self-improving AI harnesses and a customized asynchronous inference stack. Develop evaluations that measure quality, identify failures, and guide improvements to data, prompts, models, and workflows. Translate requirements across different customer use cases into reusable capabilities for a scalable product. Good candidates for this role should be technical generalists who learn quickly, keep up with advances in AI, and are highly self-directed. You should be comfortable navigating ambiguity and turning ideas into working products. Experience with Any of the Following Is a Bonus Using large language models to transform large volumes of unstructured data into reliable structured data. Designing model evaluations, benchmarks, or automated graders. Post-training, fine-tuning, preference optimization, or synthetic data. Building continuously improving AI harnesses. Our office is in San Mateo, California, and we are also open to remote candidates based in the United States. We offer competitive cash compensation, benefits, and equity.

Benefits

  • Dental Insurance