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greenhouse

Senior AI/ML Engineer

Cross River Bank
Charleston, USA
Senior · 5+ years experience
USD 160000-200000 / year
Discovered 1 months ago
airflowawsazuredockerhuggingfacekubernetes

Full Job Posting

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
  • Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. 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.

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