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AI Engineer; Generative AI & LLM at Cloud Analytics Technologies LLC Waukesha, WI

Job in Waukesha, Waukesha County, Wisconsin, 53188, USA
Listing for: Carlsbad Tech
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer (Generative AI & LLM) at Cloud Analytics Technologies LLC Waukesha, WI

Job Description Important Skill-Set, Technologies, Certifications, and Methodologies

  • Models:
    GPT-4,
    Claude 3.5,
    Llama 3
  • Frameworks:
    Lang Chain
    , Microsoft Auto Gen
    , Llama Index
  • Cloud:
    Amazon Web Services (AWS),
    Microsoft Azure
    , Google Cloud Platform (GCP)
  • Methodologies:
    Prompt Engineering
    , Retrieval-Augmented Generation (RAG),
    Agentic Orchestration
    , Fine-tuning
About the Role

We are seeking a seasoned Principal AI Engineer to lead the architecture and deployment of advanced Generative Artificial Intelligence solutions. You will be responsible for building sophisticated AI agents and integrating high‑scale Large Language Models into enterprise ecosystems to solve complex business challenges.

Key Responsibilities
  • Design and implement scalable AI solutions using frameworks like Lang Chain and Auto Gen
    .
  • Develop multi‑agent orchestration systems with advanced Agent Memory and reasoning capabilities.
  • Optimize Large Language Model performance through expert Prompt Engineering and hyperparameter tuning.
  • Architect robust pipelines on Cloud Platforms (
    AWS
    , Azure
    , or GCP
    ) to support AI model deployment.
  • Collaborate with cross‑functional teams to integrate Artificial Intelligence into existing digital products.
Essential Skills
  • 12+ years of overall experience in Software Engineering and Data Science.
  • Expert proficiency in Python programming and backend integration.
  • Deep expertise in Large Language Models (LLM) such as GPT and Claude
    .
  • Proven experience with Orchestration Tools and Agentic Frameworks
    .
  • Strong foundation in Digital:
    Artificial Intelligence
    and machine learning life cycles.
Desirable Skills
  • Experience with Vector Databases (e.g., Pinecone, Milvus, or Weaviate).
  • Knowledge of MLOps (Machine Learning Operations) for automating model deployments.
  • Relevant industry certifications in Artificial Intelligence or Cloud Architecture
    .
Keywords in your resume

Artificial Intelligence (AI),
Generative AI
, Large Language Models (LLM),
GPT
, Claude
, Lang Chain
, Auto Gen
, Python
, AWS
, Azure
, GCP
, Prompt Engineering
, Agent Memory
, Orchestration
, RAG
, Machine Learning
, Principal Engineer
.

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