1

Python Llm Jobs in Wisconsin (NOW HIRING)

WI · On-site

$125 - $150/hr

Experience designing, building, and deploying LLM applications in Python, with an eye for common failure modes (latency, cost, rate limits, non-determinism) and how to design around them. * A ...

WI · On-site

$150 - $200/hr

Implement LLM evaluation and testing (Ragas, LangSmith, or custom eval harnesses) to catch ... Strong Python programming skills and solid software engineering fundamentals. * Practical ...

New

Spend at least 50% of your time hands-on with Python code, building core platform capabilities, optimizing LLM performance, and solving complex technical challenges. * Set Technical Direction: Define ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine ... Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine ... Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

Senior Fullstack Engineer, Solve

Madison, WI · On-site

$123K - $162K/yr

Integrate with LLM providers through a unified abstraction layer and build specialized prompt ... Proficiency with Python backend frameworks (FastAPI recommended) and React/TypeScript frontends.

Develop LLM-powered features including operator copilots, intelligent alarm management, and natural ... Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, scikit-learn, or equivalent)

Senior Fullstack Engineer, Solve

Madison, WI · On-site

$123K - $162K/yr

Integrate with LLM providers through a unified abstraction layer and build specialized prompt ... Proficiency with Python backend frameworks (FastAPI recommended) and React/TypeScript frontends.

WI · On-site

$100 - $125/hr

Hands‑on experience with modern LLM and agentic technologies * A growing, hands‑on team at our ... Python or TypeScript) * Structured and organized; comfortable running an implementation project ...

WI · On-site

$125 - $150/hr

This role is specifically responsible for the day-to-day operation of an LLM-based code ... Ability to read and make guided modifications to Terraform and scripting in Python or equivalent.

WI · On-site

$100 - $125/hr

Hands‑on experience with modern LLM and agentic technologies * A growing, hands‑on team at our ... Python or TypeScript) * Able to speak credibly with both technical (CTO) and business (Head of ...

WI · On-site

$100 - $125/hr

Keep up to date with LLM, agentic AI, and generative AI innovations to ensure curriculum relevance ... Proficiency in Python and AI libraries such as PyTorch, TensorFlow, and Hugging Face Transformers.

Deep experience with backend systems in Python, including performance, observability, and reliability concerns * Hands-on experience designing and operating LLM-based systems (agents, orchestration ...

Showing results 41-60

Python Llm information

What is a Python LLM?

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 Wisconsin?

The most popular types of Python Llm jobs in Wisconsin are:

What cities in Wisconsin are hiring for Python Llm jobs?

Cities in Wisconsin with the most Python Llm job openings:

AI Software Engineer

WI • On-site

$125 - $150/hr

Other

Re-posted 2 days ago


Key responsibilities

  • Design, build, and deploy production-ready AI systems that create real business value.

  • Combine software engineering and AI expertise to develop impactful applications around LLMs and GenAI use cases.

  • Ensure solutions are well-architected, scalable, secure, robust, maintainable, and ready for real-world deployment.


Job description

The job

As an AI Software Engineer at Dataroots, you play a key role in delivering end-to-end data and AI solutions for our clients. Working within a broader ecosystem of AI engineers, data engineers, and cloud experts, you combine software engineering and AI expertise to build impactful applications around LLMs and modern GenAI use cases.

You go beyond experimentation: you design, build, and deploy production-ready AI systems that create real business value. Your focus is on delivering well-architected, scalable, and secure solutions, ensuring that what you build is not just functional, but robust, maintainable, and ready to evolve in real-world settings.

The Skills Software Engineering Skills
  • Strong Python experience on larger projects with solid software design principles.
  • Proficient with Git and SQL, with hands-on experience applying DevOps/MLOps practices, including CI/CD pipelines and monitoring for AI systems.
  • Cloud engineering experience (using tools such as Terraform and Docker), and some experience architecting and deploying production-grade applications.
  • You have good knowledge of at least one cloud platform: Azure, AWS, GCP.
GenAI skills
  • Good understanding of (gen)AI concepts, and genuine interest in staying up to date with the field.
  • Experience designing, building, and deploying LLM applications in Python, with an eye for common failure modes (latency, cost, rate limits, non-determinism) and how to design around them.
  • A production mindset when working with LLM systems: thinking about reliability, evaluation, observability, and cost. You care about how these systems behave in production, not just whether they work in a demo.
  • Some familiarity with agentic and retrieval-based patterns.
  • You know the model landscape (Claude, GPT, Gemini, open-weight models) well enough to reason about trade-offs: capability, cost, and latency.
  • You take governance and security seriously: auth, data boundaries, and responsible use of AI in enterprise environments.
Nice to have
  • You use AI tools daily to design, write, and review code with the ability to critically evaluate their output.
  • Hands-on experience with data engineering (ELT, orchestration) or managed data platforms (e.g. Databricks, Fabric).
  • You are opinionated about governance, security, and responsible use of AI in real-world environments.
  • Affinity with application security and cloud networking.
  • Experience deploying applications on Kubernetes.

Not every box needs to be ticked to be a great fit. If you're excited about the role and eager to grow, we'd still love to hear from you.

Why choose Dataroots?

We're a data & AI consulting company where people, growth, and impact go hand in hand. Since our early days, we've built a culture that values collaboration, knowledge sharing, and an environment where individuals can thrive. This focus has allowed us to grow steadily while staying true to what matters: delivering meaningful results for our clients and creating a place where people enjoy doing their best work.

Working at Dataroots means gaining exposure to a wide range of industries, challenges, and technologies. You'll have the opportunity to step outside your comfort zone, while being supported by experienced colleagues who are always ready to share their expertise.

As part of the Talan Group, we further extend these opportunities by offering an international dimension to your career path.

The Offer
  • An attractive salary with extralegal benefits, including:
    • Mobility budget or a company car with fuel/charging card
    • Hospitalization and group insurance
    • High-end laptop
    • Smartphone with subscription
    • Substantial amount of holidays
    • Meal vouchers
    • ...
  • Diverse and welcoming work environment, where you'll collaborate & unwind with colleagues from different cultures and disciplines.
  • A training budget for individual and team learning opportunities.
  • Tons of team-building events and sports initiatives to stay connected and unwind.
Where you'll work

Our main offices are in Leuven and Ghent. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events.

While much of your work can be performed remotely, you will also work on-site with clients.

Ready to join Dataroots?

You'll shape the future of AI with us? We're looking forward to hearing from you!

#J-18808-Ljbffr