Cross River

Cross River

Senior AI/ML Engineer

Fort Lee, New Jersey, United States · Senior

Sponsorship not specified$160k-$200kDetected 69 days ago
PythonSQLNoSQLAWSAzureCloud PlatformsDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchscikit-learnSparkAirflowData EngineeringNLPLLMsRAGAgentic AIResearchCollaboration

About the role

  • Our 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.
  • 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.
  • All employment is decided on the basis of qualifications, merit, and business need.

Responsibilities

  • Build complex multi-agent AI agents that are highly scalable
  • Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
  • Experience building agentic AI systems

Requirements

  • Experience with debugging traces of LLM calls to identify errors/optimizations
  • Experience with building Retrieval-Augmented Generation (RAG) systems
  • Knowledge of extracting structured outputs from LLMs
  • Experience using LLM APIs, embedding models, and RAG-based AI architectures
  • 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
  • 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
  • Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Nice to have

  • 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
  • Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
  • Some UI/UX experience is a plus

Compensation

  • $160,000.00 - $200,000.00
  • All employment is decided on the basis of qualifications, merit, and business need.
  • By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided.
  • We will only contact you with job related information.

Company info

  • Cross River builds the infrastructure behind the world's most innovative financial products. Our 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.
  • Our mission is simple: to build the 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. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance.
  • Cross River builds the infrastructure behind the world's most innovative financial products.
  • Our mission is simple: to build the financial infrastructure that expands access and opportunity for all.
  • Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do - and where your work helps shape the future of finance.
  • to build the financial infrastructure that expands access and opportunity for all.

Equal opportunity

  • Cross River is an Equal Opportunity Employer.

This listing is sourced directly from Cross River's careers page and normalized into a canonical job model.