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Foundation Models Jobs in Wisconsin (NOW HIRING)

... foundation models to clinical decision support systems. With an anticipated start date of August 2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire ...

WI · On-site

$180 - $230/hr

Define governance requirements for vendor AI products, foundation models, copilots, agents, and autonomous workflows.* Lead management of AI incidents, exceptions, waivers, and remediation programs.

WI · On-site

That foundation is now being turned into something larger: The AI platform for legal data ... The Relativity Intelligence Model is the architecture for that transformation. At its base is the ...

Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for domain-specific applications. * Build agentic workflows and task-specific AI agents-using Palantir ...

Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for domain-specific applications. * Build agentic workflows and task-specific AI agents-using Palantir ...

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

... by foundation models - Developing automated evaluation frameworks, including LLM-as-judge pipelines, regression testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability ...

WI · On-site

$184 - $287.50/hr

Published record of thought leadership in a technical area or industry segment - Deep Neural Network, Machine Learning R&D - Agentic AI, surrogate Models, or foundation models. Your base salary will ...

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Foundation Models information

What cities in Wisconsin are hiring for Foundation Models jobs?

Cities in Wisconsin with the most Foundation Models job openings:

Gen AI / ML Engineer (RAG & Agentic AI)

Appleton, WI • On-site

Rivi Consulting Group
1 - 10 employees

Other

Posted 6 days ago


Job description

Position Title: Gen AI / ML Engineer (RAG & Agentic AI)

Role Summary

We are seeking a skilled engineer with expertise in machine learning, Generative AI, and autonomous agent systems. You will build next-generation applications that connect Large Language Models (LLMs) to enterprise data and external tools. You will bridge the gap between deep AI theory and scalable software engineering.


Key Responsibilities

  • Build Agentic Systems: Develop autonomous agents capable of reasoning, planning, and multi-step task execution.

  • Implement RAG Pipelines: Build and optimize Retrieval-Augmented Generation workflows using vector databases.

  • Orchestrate Tools and APIs: Connect models to external business systems, databases, and APIs for real-world execution.

  • Manage ML Pipelines: Design scalable, production-ready machine learning pipelines on cloud platforms.

  • Monitor and Evaluate: Track model accuracy, latency, cost efficiency, and safety guardrails.


Required Skills & Qualifications

  • Core Programming: Strong coding skills in Python.

  • AI & LLM Experience: Hands-on work with foundation models (GPT, Claude, Gemini) and agent frameworks (LangChain, LlamaIndex, Semantic Kernel).

  • Data Infrastructure: Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma) and embeddings.

  • Cloud & DevOps: Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and container tools like Docker.

  • Background: Bachelor’s or Master’s degree in Computer Science, AI, or a related field, plus 3+ years of relevant development experience.


Preferred Qualifications

  • Knowledge of fine-tuning techniques (LoRA, PEFT, RLHF).

  • Experience with knowledge graphs or GraphRAG.

  • Familiarity with LLMOps, CI/CD pipelines, and model governance.

Please send us your updated resume.

Regards,

Nagendra Namagiri I BD & AM

Cell:

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