AI Engineer (Generative AI & LLM)

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Job Description

Job Overview

• Job ID: J52877
• Job Title: AI Engineer (Generative AI & LLM)
• Location: Waukesha, WI
• Duration: 20 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

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Job Description

Important Skill-Set, Technologies, Certifications, and Methodologies:

• Models: GPT-4, Claude 3.5, Llama 3.
• Frameworks: LangChain, Microsoft AutoGen, LlamaIndex.
• 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 LangChain and AutoGen.
• 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, LangChain, AutoGen, Python, AWS, Azure, GCP, Prompt Engineering, Agent Memory, Orchestration, RAG, Machine Learning, Principal Engineer.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V).

Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.

MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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