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# Senior Applied AI Engineer - Artificial Intelligence

- **Company:** AI ENGINEERS, INC.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $165,000 - $260,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Structures, Machine Learning, Language Modeling, Natural Language Processing, Open Source Technology, Software Engineering, Pytorch, DeepSpeed, Retrieval-Augmented Generation, Large Language Models, Deep Learning, HuggingFace
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/2100c0be-bd27-42e6-9a41-2d908f3c192b

## About the Role

* Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
 * Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
 * Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed
 * Proficiency in software engineering
 * An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
 * Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
 * A track record of authoring publications in top conferences and journals is a strong plus

## Description

We are looking for Senior Applied AI Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team.

The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or from potentially millions of structured and unstructured information sources.

Broad areas of applications and interest include: application and fine-tuning methods for LLMs, efficient methods for training, multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI.

What's in it for you:

 * Collaborate with colleagues on building and applying LLMs for production systems and applications
 * Write, test, and maintain production quality code
 * Tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
 * Demonstrate technical leadership by owning cross-team projects
 * Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies
 * Represent Bloomberg at scientific and industry conference and in open-source communities
 * Publish product and research findings in documentation, whitepapers or publications to leading academic venues