Minimum 5 years in AI/ML development and data engineering
Proficient in Python programming language
Strong experience with ML frameworks like TensorFlow and PyTorch
Hands-on experience with data engineering tools (Apache Spark, Airflow)
Expertise in large-scale datasets and ETL/ELT implementations
Familiar with cloud platforms (AWS, Azure) and containerization (Docker)
Knowledge of database technologies (SQL, NoSQL)
Responsibilities
Build scalable, complex multi-agent AI systems
Engage with LLMs, embedding models, and RAG systems
Engineer prompts to enhance AI performance and output
Deploy AI solutions using AWS Lambda and modern architectures
Align AI applications with ethics and data privacy
Optimize generative AI models using tools like TensorFlow or Hugging Face
Benefits
Collaborative work environment
Access to cutting-edge AI technology
Opportunities for professional development
Flexible work options
Health and wellness programs
Full Job Description
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
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
Some UI/UX experience is a plus
Qualifications:
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)
Preferred Qualifications:
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
#LI-JJ1 #LI-Onsite
Salary Range: $160,000.00 - $200,000.00
About Cross River Bank
Cross River Bank is a New Jersey state-chartered bank that was established in 2008. The bank provides a range of financial services to consumers and businesses, including personal and business banking, lending, and payment processing. Cross River Bank is known for its partnerships with fintech companies, providing them with access to the bank's infrastructure and regulatory expertise. The bank has received numerous awards for its innovative approach to banking and its commitment to financial inclusion.
