WI · On-site
$150 - $200/hr
Multi LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models ... Strong expertise in Python and modern AI development frameworks. Practical experience with LLMs ...
New
WI · On-site
$150 - $200/hr
Multi LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models ... Strong expertise in Python and modern AI development frameworks. Practical experience with LLMs ...
New
WI · On-site
$150 - $200/hr
Multi LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models ... Strong expertise in Python and modern AI development frameworks. Practical experience with LLMs ...
New
WI · On-site
$200 - $250/hr
Multi LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models ... Strong expertise in Python and modern AI development frameworks. Practical experience with LLMs ...
New
WI · On-site
$200 - $250/hr
Multi LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models ... Strong expertise in Python and modern AI development frameworks. Practical experience with LLMs ...
New
Madison, WI · On-site
$125 - $150/hr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
Madison, WI · On-site
$125 - $150/hr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
WI · On-site
$150 - $200/hr
Production‑grade Python plus solid engineering practices (testing, code review, version control), and agent orchestration frameworks (LangGraph/LangChain, vector retrieval, LLM observability, e.g ...
WI · On-site
$150 - $200/hr
Production‑grade Python plus solid engineering practices (testing, code review, version control), and agent orchestration frameworks (LangGraph/LangChain, vector retrieval, LLM observability, e.g ...
WI · On-site
$100 - $125/hr
Develop and optimize Generative AI and Large Language Model (LLM) applications. * Collaborate with ... Strong experience with Python, TensorFlow, PyTorch, and Machine Learning frameworks. * Knowledge of ...
Menomonee Falls, WI · On-site
$130K - $190K/yr
LLM apps, agents, RAG, and automated workflows as core components, not bolt-ons. Translate AI ... Python (primary), TypeScript or JavaScript, SQL Familiarity with .NET or Java a plus Modern ...
Menomonee Falls, WI · On-site
$130K - $190K/yr
LLM apps, agents, RAG, and automated workflows as core components, not bolt-ons. Translate AI ... Python (primary), TypeScript or JavaScript, SQL Familiarity with .NET or Java a plus Modern ...
Madison, WI · Hybrid
$59.25 - $79/hr
Scripting/automation skills (Python, Bash, Node) for building custom tooling and automating manual processes * Good understanding of AI/LLM attack surfaces including prompt injection, insecure output ...
Madison, WI · Hybrid
$59.25 - $79/hr
Scripting/automation skills (Python, Bash, Node) for building custom tooling and automating manual processes * Good understanding of AI/LLM attack surfaces including prompt injection, insecure output ...
Milwaukee, WI · On-site
... Python and SQL, with good software engineering habits-testing, version control, and clean code. * Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM ...
Milwaukee, WI · On-site
... Python and SQL, with good software engineering habits-testing, version control, and clean code. * Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM ...
Milwaukee, WI · On-site
... Python and SQL, with good software engineering habits-testing, version control, and clean code. * Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM ...
Milwaukee, WI · On-site
... Python and SQL, with good software engineering habits-testing, version control, and clean code. * Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM ...
WI · On-site
$150 - $200/hr
Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into ... Programming experience in Python, C#.NET, Go, Scala, Java, or similar * Production experience with ...
WI · On-site
$150 - $200/hr
Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into ... Programming experience in Python, C#.NET, Go, Scala, Java, or similar * Production experience with ...
Milwaukee, WI · On-site
$141K - $193K/yr
... Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). oDemonstrated experience building and integrating Generative AI and Large Language Model (LLM) solutions. oSolid ...
Milwaukee, WI · On-site
$141K - $193K/yr
... Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). oDemonstrated experience building and integrating Generative AI and Large Language Model (LLM) solutions. oSolid ...
Waukesha, WI · On-site
$96K - $132K/yr
Design and develop LLM-powered applications, including AI agents, RAG/search, automated reporting ... Strong development skills in at least two of Python, C#/.NET, and TypeScript, with the ability to ...
Waukesha, WI · On-site
$96K - $132K/yr
Design and develop LLM-powered applications, including AI agents, RAG/search, automated reporting ... Strong development skills in at least two of Python, C#/.NET, and TypeScript, with the ability to ...
Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures * Experience delivering software within enterprise security and ...
Experience integrating LLM-based solutions with enterprise systems through APIs, microservices, or event-driven architectures * Experience delivering software within enterprise security and ...
Milwaukee, WI · On-site
$80 - $100/hr
Build and manage end‑to‑end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing ... Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience ...
Milwaukee, WI · On-site
$80 - $100/hr
Build and manage end‑to‑end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing ... Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience ...
Madison, WI · On-site
$99K - $198K/yr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
Madison, WI · On-site
$99K - $198K/yr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
Madison, WI · On-site
$99K - $198K/yr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
Madison, WI · On-site
$99K - $198K/yr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
WI · On-site
$80 - $100/hr
Build and extend scalable backend services in Python. * Take features from concept to production ... Contribute to our AI-driven services (ML/LLM integrations), think semantic matching and auto ...
Madison, WI · On-site
$99K - $198K/yr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
Madison, WI · On-site
$99K - $198K/yr
Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies. * Collaborate ... Advanced ability working with machine learning frameworks, programming languages like Python, and ...
Milwaukee, WI · On-site
$50K - $112K/yr
... using Python and TensorFlow - Integrating data from various sources to create unified views for ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...
Milwaukee, WI · On-site
$50K - $112K/yr
... using Python and TensorFlow - Integrating data from various sources to create unified views for ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...
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
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
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.
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.
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.
The most popular types of Python Llm jobs in Wisconsin are:
For Python Llm jobs in Wisconsin, the most frequently searched job titles are:
The top searched job categories for Python Llm jobs in Wisconsin are:
Cities in Wisconsin with the most Python Llm job openings:
WI • On-site
$150 - $200/hr
Other
Medical, Dental, Vision
Posted 3 days ago
New
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere.
About the RoleWe are seeking a Forward Deployed Engineer (FDE) to embed directly with business units and stakeholder teams, turning real-world problems into working, production grade Generative and Agentic AI solutions in days and weeks, not months. This is a hands-on, high ownership role that blends software engineering, solution architecture, and consulting: you scope the problem alongside the business, build the solution inside their actual systems and data, and feed what you learn back into our shared AI platform, so every future engagement moves faster. If you thrive in ambiguity, love shipping fast, and want your code to matter on day one, this role is built for you.
Key ResponsibilitiesEmbed directly with business units and stakeholder teams to understand their workflows, data, and pain points firsthand, not from a spec document. Scope and ship working Generative AI / Agentic AI solutions (POCs, MVPs, and production features) directly inside the business's real systems and data, in days to weeks cycles. Build RAG pipelines, apply prompt engineering, and stand-up evaluation frameworks ("evals") that prove a solution is accurate enough to trust before going live. Design and build API first integrations that connect AI capabilities into existing enterprise systems and workflows. Translate ambiguous business needs into technical specs and translate technical tradeoffs back into language executives and business stakeholders can act on. Lead stakeholder workshops, present progress transparently, and proactively flag risks before they become blockers. Stay engaged through stabilization and adoption and fixing issues as they surface in the real world, not just at handoff. Feed improvements, reusable components, and lessons learned back into the shared AI platform and toolkit so every future engagement benefits. Apply MLOps/LLMOps practices (CI/CD, monitoring, model/agent lifecycle management) to keep deployed solutions reliable in production.
Our Tech StackDatabricks platform, Unity Catalog, Delta Lake, Databricks Apps, and Databricks AI Gateway for model routing and governance. Microsoft Azure, including Azure AI Foundry for model deployment and orchestration. Multi LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models.
Required QualificationsBachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 8+ years of overall software engineering / IT experience. 3+ years of hands-on experience building Generative AI / Agentic AI systems. Strong expertise in Python and modern AI development frameworks. Practical experience with LLMs (OpenAI, Claude, Gemini, Llama, or open weight models) and multiagent orchestration frameworks (LangGraph, AutoGen, or Semantic Kernel). Deep understanding of RAG architectures, vector databases, and embedding models. Experience with at least one major cloud platform (Azure, AWS, or GCP), including native AI services. Proven experience with MLOps/LLMOps: CI/CD, containerization, observability, and evaluation frameworks. Comfortable embedding directly with business or customer teams, including onsite engagement as needed. Excellent communication skills - able to run stakeholder workshops and present to both executives and engineers in the same day. Demonstrated ability to own a solution end-to-end in ambiguous, fastmoving environments, from scoping through production.
Preferred QualificationsPrior forward deployed, consulting, or solutions architecture experience. Familiarity with Model Context Protocol (MCP) and emerging AI agent ecosystems. Experience building evals with tools like Ragas, Lang Smith, or custom harnesses. Business or domain fluency in a regulated industry (healthcare, finance, or government) where data sensitivity and compliance shape the solution. Track record of building reusable frameworks or components that scale across multiple engagements.
HEALTHCARE DOMAIN PREFERENCEWe strongly prefer candidates who bring healthcare industry knowledge alongside AI expertise. Forward Deployed Engineers on our team embed directly with healthcare distribution and specialty pharmacy business units - experience with healthcare distribution, specialty pharma data, or healthcare EMR/EHR systems (HL7, FHIR, claims, ND level data) is a significant advantage in building trust and shipping solutions that fit really clinical and operational workflows.
What Cencora offersWe provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora
Full time Equal Employment OpportunityCencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned
Affiliated CompaniesAffiliated Companies: International Oncology Network Solutions Inc. Cencora is a leading global pharmaceutical solutions company that is committed to improving the lives of people and animals everywhere. We connect manufacturers, providers, and patients to ensure that anyone can get the therapies they need, where and when they need them. We're a purpose-driven organization, where all of our team members around the world are united in our responsibility to create healthier futures. We work together every day to help our partners bring their innovations to patients worldwide, creating unparalleled access and impact at the center of health.