AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate
Salary not listed • Jersey City, NJ, United States • Full-time
Posted 19h ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
About the job
This is a unique opportunity to help shape the future of our Private Bank by creating an Agentic Private Bank. This initiative aims to reimagine the entire process, rethink the operating model, and develop AI agents equipped with the latest tools and technologies to fundamentally reshape how business is performed. As an AI ML Engineer within the team, you will collaborate with various business lines and functions to deliver software solutions. You will have the chance to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to achieve significant business impact. Additionally, you will design and implement highly scalable and reliable data processing pipelines and perform analysis to optimize business results.
Responsibilities
- Collaborate with Data Science, Product, and business stakeholders to design, implement, and monitor robust database solutions using OpenSearch.
- Design, write, and deploy well-crafted and well-tested Python code for Machine Learning products and tools.
- Design, deploy, and manage prompt-based models on LLMs for various NLP tasks in financial services.
- Conduct research on prompt engineering techniques to improve prompt-based model performance, exploring LLM orchestration and agentic AI libraries.
- Collaborate with cross-functional teams to identify requirements and develop solutions for business needs.
- Communicate effectively with both technical and non-technical stakeholders.
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs using cloud services.
- Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
- Analyze and interpret data to evaluate model performance and identify areas for improvement.
Requirements
- Formal training or certification in software engineering concepts and 3+ years of applied experience.
- Experience with prompt design and implementation or chatbot applications.
- 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 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 skills and the ability to communicate ideas and results clearly to stakeholders.
- 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 for production integration.