SQL, Python * Candidates must possess unrestricted work authorization and not require future ... Exposure to agentic AI tools or LLM-based workflows Candidates must possess unrestricted work ...
SQL, Python * Candidates must possess unrestricted work authorization and not require future ... Exposure to agentic AI tools or LLM-based workflows Candidates must possess unrestricted work ...
SQL, Python * Candidates must possess unrestricted work authorization and not require future ... Exposure to agentic AI tools or LLM-based workflows Candidates must possess unrestricted work ...
SQL, Python * Candidates must possess unrestricted work authorization and not require future ... Exposure to agentic AI tools or LLM-based workflows Candidates must possess unrestricted work ...
AI Automation Engineer -Remote
Lincoln, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Lincoln, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Omaha, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Omaha, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Kearney, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Kearney, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Grand Island, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Grand Island, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Bellevue, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
AI Automation Engineer -Remote
Bellevue, NE · On-site +1
$202K - $234K/yr
Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...
Python Llm information
What is a Python LLM job?
A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.
What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?
To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.
What are some common challenges faced by Python LLM Engineers in their daily work?
Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

Full-time
Medical, Dental, Vision, Retirement
Posted 21 days ago
Job description
Summary of the Job:
This 8-10 month internship opportunity is within our Partnership Data & Modeling (PDM) Department in the Consumer Banking Group. PDM is a critical department in our organization, managing the development and implementation of a multitude of analytical tools which enable our day-to-day decision-making processes for a variety of banking products.
As a Data Analytics intern, the student would complete real-life projects under the mentoring of analytics professionals within the department. The area of work will mostly focus on marketing and partnership analytics, but can be tailored to the student's interest, experience, and career goals.
About This Role:
Projects could include:
1. Data mining very large databases (tens of millions of records) using SQL and Python
2. Design and develop Power BI dashboards with clear visualizations to deliver dynamic reporting capabilities
3. Act as a junior data consultant to internal business teams by providing data driven insights to answer relevant business questions and data requests
4. Conduct exploratory data analysis on warehouse data to identify trends, anomalies, and insights that support strategic business initiatives
5. Assist in creating or validating AI tools including AI instructions, prompts, or verified queries to enable specific business units
Required:
- Located in Omaha area
- Applicant would be expected to work 8 hours on-site at least 3 days per week, and work at least 32 hours per week during the entirety of the internship
- Graduate student or senior undergraduate in a quantitative field such as Statistics, Computer Science, Data Science, Mathematics
- Demonstrate excellent oral and written communication skills
- Experience using one or more of the following programming languages: SQL, Python
- Candidates must possess unrestricted work authorization and not require future sponsorship at any time in the future
The Ideal Candidate for This Role:
Preferred:
- Experience with PowerBI
- Exposure to agentic AI tools or LLM-based workflows
Candidates must possess unrestricted work authorization and not require future sponsorship.
Work Environment:
It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing in-person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, you'll experience the energy and relationship-building of face-to-face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.
Compensation and Benefits Overview:
We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Time Off Programs
- Health Savings Account (HSA)/Dependent Care
- Employee Banking
- Growth Opportunities
- Tuition Assistance
- Short-Term/Long-Term Disability Insurance
Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.
To obtain compensation and benefit information related to this specific role, e-mail FNBO at TAGAdmin@fnni.com. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.
Job number: R-20260931
Equal Opportunity & Belonging:
FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selves-no matter their role or where they are in their journey.
Learn more here.
FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.
Click here to download 'EEO is The Law' Self-Print Poster
Click here to download 'EEO is The Law' Supplement for Federal Contractors
Click here to download 'EEO is The Law' GINA Supplement
FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC
FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)
Application Deadline:
All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.