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Python Llm Jobs in Naperville, IL (NOW HIRING)

JLL

AI Dev Lead

Chicago, IL

$60.75 - $79.50/hr

Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

Outlier AI

OpenClaw LLM Engineer (Remote)

Chicago, IL · Remote

Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. * Practical experience building for live, non-mocked environments and ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL · On-site

... LLM-based agentic pipelines (e.g., with LangChain, Vertex AI, etc.). Experience fine-tuning LLMs is a plus. * Machine learning for multimodal data : Completed projects in Python to develop predictive ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL

... LLM-based agentic pipelines (e.g., with LangChain, Vertex AI, etc.). Experience fine-tuning LLMs is a plus. * Machine learning for multimodal data : Completed projects in Python to develop predictive ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126.20K - $166.40K/yr

Own end-to-end LLM systems: architecture, training, evals, and iteration * Fine-tune and extend ... Strong Python plus PyTorch or JAX * Experience with large-scale data pipelines and experiment ...

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How much do python llm jobs pay per hour?

As of May 30, 2026, the average hourly pay for python llm in Naperville, IL is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.49 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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.
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Python Llm jobs near you
AI & Data Engineering Architect

AI & Data Engineering Architect

MMD Services, Inc

Elmhurst, IL

$63.50 - $81.75/hr

Other

Posted 24 days ago

Job description

The AI & Data Engineering Architect is a strategic and high-impact role responsible for advancing organizational AI capabilities and optimizing the data ecosystem that enables them. This position focuses on defining and implementing scalable architecture patterns, tools, governance frameworks, and processes that support AI adoption and data-driven decision-making.

This role plays a critical part in designing and evolving modern data platforms and analytics solutions, ensuring they effectively support both operational intelligence and advanced AI use cases.

The AI & Data Engineering Architect works cross-functionally with enterprise architecture, data engineering, analytics, and business stakeholders to develop and execute a cohesive AI and data strategy aligned with organizational goals.

Position Summary:

  • Define and execute AI & data strategy in partnership with architecture, data, and business leaders.
  • Develop and maintain a multi-year roadmap covering capabilities, tools, and infrastructure.
  • Design scalable AI solutions (e.g., GenAI, RAG, agent-based systems, LLM orchestration).
  • Evaluate emerging AI technologies and their impact on development and productivity.
  • Lead Proof of Concepts to test new approaches and transition successful solutions to production.
  • Define and evolve scalable, cloud-based data platforms for analytics and AI.
  • Architect ETL/ELT pipelines and data models for real-time and historical use cases.
  • Establish governance standards for data quality, security, and responsible AI usage.
  • Enable BI and self-service analytics with clean, governed data.
  • Optimize systems for performance, scalability, and reliability.

Experience

  • Hands-on experience designing and implementing AI/ML solutions, particularly with Generative AI and LLM-based applications.
  • Strong background in data architecture, data engineering, or related fields, with expertise in data modeling, warehousing, and distributed systems.
  • Proficiency in cloud platforms (e.g., AWS, Azure, or Google Cloud Platform), along with strong programming and query skills (e.g., Python, SQL).
  • Proven ability to work across technical and business teams to translate requirements into scalable data and AI solutions.
  • Familiarity with leading AI platforms, tools, and vendors, including emerging startups and LLM providers.
  • Experience with advanced AI architectures, automation in the software development lifecycle, and AI-driven testing approaches.
  • Experience with modern data platforms (e.g., Snowflake, Databricks) and BI tools (e.g., Power BI, Tableau, Qlik).
  • Awareness of trends such as natural language-driven development, agentic workflows, and context-sharing protocols.

MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.

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