Intern - AI Engineer
Lincoln, NE · On-site
Working Python proficiency. Comfortable reading unfamiliar code, debugging across system boundaries, and writing code others can maintain. Experience with LLM frameworks or API integration is a ...
New
Intern - AI Engineer
Lincoln, NE · On-site
Working Python proficiency. Comfortable reading unfamiliar code, debugging across system boundaries, and writing code others can maintain. Experience with LLM frameworks or API integration is a ...
New
Sr. AI Engineer - Forward Deployed Engineer Senior Manager Snowflake Reinvention Centers
Atlanta, NE · Hybrid
$124K - $171K/yr
Process large-scale data on Snowflake with SQL, Python, and modern data integration tooling ... CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving ...
Sr. AI Engineer - Forward Deployed Engineer Senior Manager Snowflake Reinvention Centers
Atlanta, NE · Hybrid
$124K - $171K/yr
Process large-scale data on Snowflake with SQL, Python, and modern data integration tooling ... CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving ...
AI Engineer - Forward Deployed Engineer Snowflake Reinvention Centers Associate Manager
Atlanta, NE · Hybrid
$73K - $220K/yr
... LLM functions). * Optimize data models, queries, and processing workflows on Snowflake for performance and cost. * Process large-scale data on Snowflake with SQL, Python, and the Spark ecosystem.
AI Engineer - Forward Deployed Engineer Snowflake Reinvention Centers Associate Manager
Atlanta, NE · Hybrid
$73K - $220K/yr
... LLM functions). * Optimize data models, queries, and processing workflows on Snowflake for performance and cost. * Process large-scale data on Snowflake with SQL, Python, and the Spark ecosystem.
Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning. * Strong proficiency in Python and API-driven system design. * Experience integrating enterprise platforms ...
Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning. * Strong proficiency in Python and API-driven system design. * Experience integrating enterprise platforms ...
Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning. * Strong proficiency in Python and API-driven system design. * Experience integrating enterprise platforms ...
Deep understanding of planning loops, contextual memory, and tool-augmented LLM reasoning. * Strong proficiency in Python and API-driven system design. * Experience integrating enterprise platforms ...
DevOps Engineer
Oak, NE · On-site
$52.50 - $72/hr
Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how ... Automate infrastructure and workflows using Python * Improve observability by implementing and ...
DevOps Engineer
Oak, NE · On-site
$52.50 - $72/hr
Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how ... Automate infrastructure and workflows using Python * Improve observability by implementing and ...
Senior Applied & Agentic AI Engineer
Omaha, NE · On-site
$100K - $137K/yr
... LLM and agentic AI systems that transform claims, risk, and operational workflows. · Define ... Python and enterprise API integration patterns. · Experience building secure, scalable ...
Senior Applied & Agentic AI Engineer
Omaha, NE · On-site
$100K - $137K/yr
... LLM and agentic AI systems that transform claims, risk, and operational workflows. · Define ... Python and enterprise API integration patterns. · Experience building secure, scalable ...
Senior Applied & Agentic AI Engineer
Lincoln, NE · On-site
$91K - $124K/yr
... LLM and agentic AI systems that transform claims, risk, and operational workflows. · Define ... Python and enterprise API integration patterns. · Experience building secure, scalable ...
Senior Applied & Agentic AI Engineer
Lincoln, NE · On-site
$91K - $124K/yr
... LLM and agentic AI systems that transform claims, risk, and operational workflows. · Define ... Python and enterprise API integration patterns. · Experience building secure, scalable ...
Data Scientist
Omaha, NE · Remote
Use SQL, Python to extract and profile data from structured and unstructured sources, ensuring high-quality data inputs for both machine learning models and LLM agent contexts. Full-Stack Logic ...
Data Scientist
Omaha, NE · Remote
Use SQL, Python to extract and profile data from structured and unstructured sources, ensuring high-quality data inputs for both machine learning models and LLM agent contexts. Full-Stack Logic ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...
Strong proficiency in Python with experience building production ML or LLM systems * Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock) * Experience with RAG architectures ...
Strong proficiency in Python with experience building production ML or LLM systems * Hands-on experience with modern AI APIs (OpenAI, Anthropic, AWS Bedrock) * Experience with RAG architectures ...
AI Engineer - Remote
Omaha, NE · Remote
Guide teams in adopting and building LLM-powered applications, including context engineering ... Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices.
AI Engineer - Remote
Omaha, NE · Remote
Guide teams in adopting and building LLM-powered applications, including context engineering ... Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices.
Data / ML Engineer
Omaha, NE · Hybrid
$109K - $131K/yr
Strong proficiency in Python and the modern Python data stack * Hands-on experience with vector databases, RAG architectures, or LLM lifecycle management * Experience implementing MLOps practices in ...
Data / ML Engineer
Omaha, NE · Hybrid
$109K - $131K/yr
Strong proficiency in Python and the modern Python data stack * Hands-on experience with vector databases, RAG architectures, or LLM lifecycle management * Experience implementing MLOps practices in ...
Principal, Data & AI Platform Engineer
$109K - $131K/yr
Design and deploy onprem ML and LLM solutions for reporting automation, anomaly detection ... Python for ML, data processing, and analytics Application Development * Experience integrating ...
Principal, Data & AI Platform Engineer
$109K - $131K/yr
Design and deploy onprem ML and LLM solutions for reporting automation, anomaly detection ... Python for ML, data processing, and analytics Application Development * Experience integrating ...
Senior AI/ML Engineer
Lincoln, NE · Remote
$90 - $100/hr
... LLM orchestration, integration, and vLLM-based inference for document understanding. * Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. * Strong Python ...
Senior AI/ML Engineer
Lincoln, NE · Remote
$90 - $100/hr
... LLM orchestration, integration, and vLLM-based inference for document understanding. * Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering. * Strong Python ...
Senior Software Engineer
Oak, NE · On-site
$122K - $161K/yr
Partner with engineering leadership to drive system migrations and modernization (Python/Django ... Work on applied LLM systems - from intelligent search to AI-driven content agents. * Own your craft
Senior Software Engineer
Oak, NE · On-site
$122K - $161K/yr
Partner with engineering leadership to drive system migrations and modernization (Python/Django ... Work on applied LLM systems - from intelligent search to AI-driven content agents. * Own your craft
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.
What are the most commonly searched types of Python Llm jobs in Nebraska? The most popular types of Python Llm jobs in Nebraska are:
What are popular job titles related to Python Llm jobs in Nebraska? For Python Llm jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Nebraska look for? The top searched job categories for Python Llm jobs in Nebraska are:
What cities in Nebraska are hiring for Python Llm jobs? Cities in Nebraska with the most Python Llm job openings:
Part-time
Posted yesterday
Job description
Our Vision: We make dreams possible.
Yes, we're a student loan servicer. We're also a technology company, idea incubator, start-up accelerator, and K-12 and higher education expert. At Nelnet, we're so much more than what you think-and we're just getting started. So, no matter what you want to do in life-build codes or build brands-we're the best place to do it.
Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule, intern-specific programming, and meaningful work experience.
Apply to one of our internships today. Your career awaits.
Nelnet's AI Lab is building the agent frameworks, integrations, and technical infrastructure that will define how Nelnet operates with AI over the next several years. AI Engineer Interns join a small, high-velocity team doing that work directly: building and testing agents, exploring LLM-based workflows, researching emerging frameworks, and contributing to production-bound tooling.Agent Development: Help build, test, and iterate on AI agents using the team's secure agent framework. This includes working with LLM APIs, multi-agent orchestration patterns, and tooling that runs in Nelnet's Microsoft 365 and cloud environment.
Technical Research: Track developments in LLM frameworks, agent architectures, tooling, and industry approaches. Evaluate options against the team's real constraints (security, identity, M365 integration) and surface findings with clear "so what" framing. Research here feeds real decisions, not slide decks.
Integration and Prototyping: Build proof-of-concept integrations between LLM-based systems and Nelnet's internal tools and APIs. Test assumptions early, document what worked and what didn't, and hand off something the team can build on.
Code Review and Documentation: Document design decisions, system behavior, and implementation notes with the precision of someone who expects a future engineer to read it. Participate in code review as both author and reviewer.
Final Presentation: Present your work, findings, and recommendations to AI Lab leadership and team members at the end of the internship period.
Education
Pursuing a degree in Computer Science, Software Engineering, Data Science, or a related technical field.
We care more about what you've built than which courses you've taken. A strong portfolio of personal projects, open-source contributions, or prior technical internships carries more weight than GPA alone.
Experience
Hands-On AI Tool Usage (Required): Has used LLMs for real technical work, not just experimentation. This might mean using Claude or ChatGPT to write, debug, or extend code; building a personal project with an LLM API; or integrating AI tooling into a workflow. Can speak concretely about what they built, how it worked, and what the limits were.
Programming: Python is the primary language. Solid working knowledge is required. Experience with any of the following is a strong plus: LangChain, LangGraph, Claude API, OpenAI/Claude SDK, FastAPI, or similar frameworks. Familiarity with REST APIs, JSON, and basic cloud or serverless patterns is beneficial.
Prior Technical Projects: Personal projects, research, coursework projects, or prior internships that involved building something end-to-end. We want to see evidence of independently scoped and completed technical work, however small.
Collaboration Under Ambiguity: Experience working on a team where requirements weren't perfectly defined. Comfortable asking clarifying questions, proposing solutions, and moving forward without waiting for perfect information.
Competencies
LLM Fluency: Uses LLMs as a genuine engineering tool, not just a novelty. Understands prompt construction, context windows, tool use, and the failure modes that matter in production. Knows when to reach for an LLM and when not to.
Agentic Systems Thinking: Understands how business workflows can be decomposed into agentic patterns: what an agent owns, what it delegates, what triggers it, and where it can fail. Asks the right questions about data access, identity, security, and trust before assuming the happy path.
Programming and Technical Depth: Working Python proficiency. Comfortable reading unfamiliar code, debugging across system boundaries, and writing code others can maintain. Experience with LLM frameworks or API integration is a significant plus.
Research Rigor: Can evaluate a new framework or approach systematically: what problem it solves, what the tradeoffs are, and whether it fits this team's constraints. Not satisfied by marketing copy or surface-level comparisons. Produces findings that are actionable.
Problem-Solving Under Ambiguity: Early-stage environments don't have complete specs. Comfortable breaking down a vague requirement into concrete next steps, identifying what needs to be true before moving forward, and flagging when a direction isn't working.
Communication: Can explain a technical approach to a non-technical stakeholder and a design decision to a senior engineer in the same day. Written communication is precise. Code and documentation reflect the same clarity as verbal explanations.
Curiosity Over Credentials: More interested in understanding how something actually works than in appearing to already know it. Experiments readily, is not defensive about being wrong, and learns faster from real usage than from documentation alone.
Ethical Grounding: Understands that AI systems reflect design choices and that those choices have real consequences. Thinks seriously about data privacy, identity, and the responsible use of AI in an enterprise setting. Can engage with the tradeoffs, not just recite the principles.
Adaptability: The AI tooling landscape changes fast and so does this team's priorities. Comfortable updating assumptions when new information arrives. Not attached to the first approach when a better one emerges.
Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 orcorporaterecruiting@nelnet.net.
Nelnet is a Drug Free and Tobacco Free Workplace.