Senior AI/ML Engineer
About The Position
Cross River builds the infrastructure behind the world’s most innovative financial products. Their technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively, trusted by leading fintechs, enterprises, and disruptors across the globe. The company's mission is to build financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. In this role, you will join a team where innovation and integrity drive everything, helping to shape the future of finance.
Requirements
- Work with current state of the art LLMs and embedding models
- Experience building agentic AI systems
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience with building Retrieval-Augmented Generation (RAG) systems
- Engineer and refine prompts to enhance AI performance and output quality
- Knowledge of extracting structured outputs from LLMs
- Experience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
- Knowledge of LangChain, Pydantic, and scalable AI workflows
- Proficiency in prompt engineering and optimization techniques
- Minimum 5 years of experience in AI/ML development and data engineering
- Proficiency in programming languages Python
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
Nice To Haves
- Some UI/UX experience is a plus
- Experience in NLP, Generative AI, or deep learning models
- Proven track record of deploying AI solutions at scale
- Research background in generative AI models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus
Responsibilities
- Build complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
- Engineer and refine prompts to enhance AI performance and output quality
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
501-1,000 employees
