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Python Llm Jobs in Rolling Meadows, IL (NOW HIRING)

Pulsora, Inc.

AI Engineer - United States

Chicago, IL · Remote

$50K - $60K/yr

Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python * Code Quality & Productivity

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

Databricks, MLflow, Unity Catalog, Delta Lake, model serving; production Python AI/ML engineering; RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic ...

Spruce Infotech

AI Agent Developer

Lincolnshire, IL · On-site

Proficiency in Python and/or JavaScript/TypeScript * Experience building and deploying AI agents or LLM-driven applications in production environments * Strong understanding of LLM concepts, prompt ...

Apex Informatics

QA Automation Tester

Chicago, IL · On-site

... and 40% is LLM / GenAI Validation (AI Testing) • Test automation experience is non-negotiable - manual-only profiles will not be considered. • Python, Java, JavaScript, or TypeScript for ...

Compunnel

AI Engineering / GenAI Lead

Chicago, IL · On-site

$105K - $139K/yr

... and LLM/ML integration. Key Responsibilities • Lead the design and development of production ... • Strong Python development experience for AI/ML applications and services. • Experience ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Python * FastAPI * Git/GitHub * REST APIs * HTML/CSS/JavaScript Preferred * PostgreSQL * Llama LLM * LangChain * LlamaIndex * Docker * AWS * Azure * Vector Databases * Machine Learning Frameworks ...

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Contributions to Python open-source projects or packages. LLM Understanding & Safety: Transformers, attention mechanisms, fine-tuning, hallucination mitigation, AI safety guardrails. **Will accept ...

Limited Legal Entity

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Contributions to Python open-source projects or packages. LLM Understanding & Safety: Transformers, attention mechanisms, fine-tuning, hallucination mitigation, AI safety guardrails. **Will accept ...

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Showing results 21-40

All JobsPython Llm JobsPython Llm Jobs in Rolling Meadows, IL

Python Llm information

See Rolling Meadows, IL salary details

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How much do python llm jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python llm in Rolling Meadows, IL is $58.96, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $66.97 per hour, depending on experience, location, and employer.

What is a Python LLM?

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.

What are popular job titles related to Python Llm jobs in Rolling Meadows, IL?

For Python Llm jobs in Rolling Meadows, IL, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Rolling Meadows, IL look for?

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Python Llm jobs near you
Infographic showing various Python Llm job openings in Rolling Meadows, IL as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 11% Part Time, 5% Contract, and 1% Nights. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $122,647 per year, or $59 per hour.

Agentic AI Developer

Strata Decision Technology

Chicago, IL

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Job description

How You'll Make an Impact 

As an Agentic AI Developer at Strata, you will be at the forefront of building our next generation of intelligent agents. You will operate under AI Platform team, working closely with architects, data scientists, platform engineers, and product leaders, you'll design and implement advanced agentic AI solutions that enhance our platform's ability to deliver insights, automation, and decision support. 

Your contributions will directly impact how healthcare providers leverage financial, operational, and clinical data, helping them deliver exceptional patient care while strengthening their financial performance. By exploring new agentic patterns and incorporating the latest technologies, you'll ensure Strata continues to lead in an evolving AI landscape. 

A Day in the Life 

  • Design, develop, and deploy production grade AI agents that solve real business problems across Strata's products and internal platforms. 
  • Collaborate with cross functional teams to translate healthcare and business requirements into agentic workflows and AI powered applications. 
  • Build robust multi agent systems using best practices for agent orchestration, planning, memory management, Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), function calling, and tool integration. 
  • Evaluate and prototype emerging AI frameworks, foundation models, and developer tooling, identifying opportunities to improve product capabilities, engineering productivity, and platform performance. 
  • Develop reusable AI services, SDKs, prompt libraries, skills, evaluation frameworks, and agent components that enable scalable adoption across Strata teams. 
  • Implement automated Eval pipelines, observability, guardrails, cost monitoring, and performance analytics to ensure production quality, reliability, security, and responsible AI practices. 
  • Partner with AI Platform engineers to optimize model deployment, performance, and infrastructure for enterprise scale. 
  • Contribute to AI architecture, coding standards, governance, and engineering best practices while mentoring teammates on modern agentic development patterns. 
  • Communicate technical designs, tradeoffs, and implementation strategies effectively with engineering, product, and healthcare stakeholders. 
  • Continuously explore advances in Agentic AI, reasoning models, multimodal AI, and autonomous systems, translating relevant innovations into practical business value. 

Our Technology Stack 

Our platform is trusted by more than half of the nation's leading healthcare providers, and our agentic AI capabilities are built on a modern stack: 

Required: Python, SQL, AWS, LLM APIs, RAG, tool calling, production software engineering 
Preferred: Bedrock, LangGraph, MCP, eval frameworks, observability, Snowflake/dbt, healthcare data experience 

What We're Looking For 

We are seeking an innovative and hands-on AI developer who is passionate about building agentic systems and transforming emerging AI technologies into secure, scalable, and production ready solutions. You enjoy experimenting with new models and frameworks, solving complex engineering challenges, and delivering measurable business value through AI. 

Required Qualifications 

  • 4-6 years of experience in software development, computer science, or data science/engineering roles 
  • Experience developing applications using Python and SQL. 
  • Hands on experience with AWS AI and cloud services, including Amazon Bedrock, AgentCore, SageMaker, S3, Lambda, and related AWS services. 
  • Experience working with modern foundation models through APIs or managed platforms. 
  • Strong understanding of LLM/GenAI model application development, including prompt/loop engineering, system instructions, tool calling, RAG, memory/context management, and MCP. 
  • Experience designing and implementing AI workflows, agent orchestration, and integrating AI capabilities into production applications. 
  • Knowledge of software engineering best practices, including API development, testing, version control, CI/CD, and cloud native application development. 
  • Strong analytical, problem solving, and debugging skills with the ability to quickly evaluate and adopt emerging AI technologies. 
  • Excellent communication skills with the ability to explain complex technical concepts to engineering, product, and healthcare stakeholders. 

Preferred Qualifications 

  • Experience building and deploying agentic AI systems in production environments. 
  • Experience with agent frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar orchestration frameworks. 
  • Experience designing evaluation frameworks for LLM and agent applications, including automated testing, regression evaluation, hallucination detection, and quality measurement. 
  • Experience implementing AI safety mechanisms, including guardrails, content filtering, prompt injection mitigation, and responsible AI practices. 
  • Experience with observability and monitoring for AI systems, including tracing, token usage, latency, cost monitoring, and production diagnostics. 
  • Experience working with healthcare, financial, or other regulated industry data is a plus. 

Estimated Salary Range: $117,000 - $145,000
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

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