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# AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Microsoft Azure, Apache Lucene, Computer Programming, Continuous Integration, Elasticsearch, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Tensorflow, Standard Sql, Software Engineering, Systems Integration, Unstructured Data, Data Processing, Chatbots, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Agentic-AI, Git, Containerization, Machine Learning Operations, Api Design, Data Pipelines, OpenSearch
- **Published:** October 31, 2026
- **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210797991

## About the Role

* Formal training or certification on software engineering concepts and 3+ years applied experience
 * Experience with prompt design and implementation or chatbot application
 * Advanced knowledge of SQL and NoSQL (OpenSearch, Elasticsearch, and / or Apache Lucene) with Git, containerization, and CI / CD
 * Strong programming skills in Python with experience in PyTorch or TensorFlow
 * Experience building data pipelines for both structured and unstructured data processing.
 * Experience in developing APIs and integrating NLP or LLM models into software applications
 * Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
 * Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
 * Basic knowledge of deployment processes, including experience with GIT and version control systems
 * Familiarity with LLM orchestration and agentic AI libraries
 * Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

 * Familiarity with model fine-tuning techniques such as DPO and RLHF.
 * Knowledge of Java, Spark
 * Knowledge of financial products and services including trading, investment and risk management

## Description

* Collaborate with Data Science, Product, and business stakeholders to design, implement, and monitor robust database solutions predicated on OpenSearch
 * Design, write, and deploy well-crafted and well-tested Python in support of Machine Learning products and tools across the company
Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain

 * Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
 * Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
 * Communicate effectively with both technical and non-technical stakeholders
 * Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
 * Develop and maintain tools and framework for prompt-based model training, evaluation and optimization
 * Analyze and interpret data to evaluate model performance to identify areas of improvement