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Python Llm Jobs in Chicago, IL (NOW HIRING)

Steame LLC

Data Analytics Engineer - Chicago

Chicago, IL · On-site

$120K - $130K/yr

Write Python scripts for data preparation, automation, and analytics workflows * Experiment with and develop LLM-enabled workflows, including prompt design, to extract insights, summarize data, or ...

Tata Consultancy Services

Senior AI ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

... LLM based applications • Proven expertise with embeddings, vector databases, and retrieval pipelines • Experience designing agent workflows, prompt strategies, and orchestration • Strong Python ...

QTech US Inc

AI Architect - Chicago, IL

Chicago, IL · On-site

Design and define architectures for AI agent frameworks and LLM-based applications. Build RAG-based ... Python APIs Microservices Distributed Systems Azure / AWS / Google Cloud Platform AI Governance ...

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 ...

Morningstar, Inc.

Senior Software Engineer

Chicago, IL · On-site

$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 ...

Diverse Lynx

Senior AI ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

... LLM-powered applications and agentic workflows using Python · Design and implement RAG pipelines over enterprise data using embeddings and vector databases · Build multi-step, tool-using agents ...

Guru Schools

Sr.AI Developer

Northbrook, IL · On-site

$56 - $73.75/hr

Python, JavaScript, or Java * AI/LLM frameworks, APIs, and orchestration tools * REST APIs and microservices architecture * Cloud platforms (Azure, AWS, or GCP) * RAG, vector databases, and prompt ...

Kobie Marketing

AI Engineer

Chicago, IL · Remote

... clients an LLM-native way to work with complex loyalty logic. We're looking for a hands-on AI ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Kobie Marketing

AI Engineer

Chicago, IL · Remote

... clients an LLM-native way to work with complex loyalty logic. We're looking for a hands-on AI ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

JLL

Lead AI Engineer

Chicago, IL

$105K - $139K/yr

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

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Python Llm information

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How much do python llm jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for python llm in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 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.

What are the most commonly searched types of Python Llm jobs in Chicago, IL? The most popular types of Python Llm jobs in Chicago, IL are:
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Python Llm jobs near you
Full-Stack Engineer, AI & Automation

Full-Stack Engineer, AI & Automation

Upside Services, Inc

Chicago, IL • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Meet Upside:
We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail-profit measurement, attribution, and incrementality-to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We've helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives.
About the Role
We are looking for a Senior Full-Stack Engineer, AI & Automation to help scale the technology that powers our Consumer Operations organization.
In this role, you'll build and maintain the systems, integrations, and AI-powered workflows that enable our support teams to operate efficiently while delivering exceptional customer experiences. You'll work closely with Consumer Operations, Product, and Engineering partners to automate manual processes, improve support tooling, and leverage AI technologies to solve real business problems.
This is a highly hands-on engineering role focused on execution, experimentation, and continuous improvement. The ideal candidate enjoys building practical solutions, working across systems, and using emerging AI technologies to drive measurable impact.
What You'll Do
Build AI-Powered Customer Operations Solutions
  • Design, develop, and maintain AI-powered workflows that improve customer support operations and customer experience.
  • Leverage LLM platforms such as OpenAI, Claude, and similar technologies to automate repetitive tasks and enhance agent productivity.
  • Improve chatbot experiences through workflow automation, knowledge integration, and operational tooling.
  • Partner with Consumer Operations stakeholders to identify opportunities where AI can reduce manual effort and improve service quality.
  • Measure and iterate on AI solutions using operational data, customer feedback, and performance metrics.
Develop Systems and Integrations
  • Build and maintain integrations across systems such as Zendesk, Retool, Slack, and internal platforms.
  • Develop backend services, APIs, and automation workflows using Python (Proficient), Strong SQL and JavaScript/TypeScript.
  • Identify operational bottlenecks and build scalable solutions that eliminate repetitive work.
  • Ensure systems are reliable, maintainable, and well-documented.
  • Troubleshoot production issues and continuously improve operational tooling.
Deliver Insights Through Data
  • Build reporting and dashboards that help teams understand customer experience trends and operational performance.
  • Analyze support interactions and customer feedback to identify opportunities for process improvement.
  • Partner with Operations and Product teams to turn customer insights into actionable improvements.
  • Use data to evaluate the effectiveness of automation initiatives and support investments.
What We're Looking For
Required Qualifications
  • 5-8 years of software engineering experience in a fast-paced technology environment.
  • Strong proficiency in Python.
  • Strong proficiency in JavaScript or TypeScript.
  • Experience building backend services, APIs, integrations, and automation workflows.
  • Hands-on experience working with LLM platforms such as OpenAI, Claude, or similar AI technologies.
  • Experience building, improving, or supporting chatbot and AI-assisted workflow solutions.
  • Strong SQL skills and experience working with operational or analytical data.
  • Experience integrating third-party platforms using APIs and webhooks.
  • Ability to work effectively with Operations, Product, and Engineering stakeholders.
  • Strong problem-solving skills with a practical, business-oriented mindset.
Preferred Qualifications
  • Experience with Zendesk, Retool, or similar customer operations platforms.
  • Experience with Snowflake, Hex, Looker, or other analytics tools.
  • Experience working in fintech, marketplaces, SaaS, or other high-growth environments.
  • Experience with AWS services and serverless architectures.
  • Familiarity with prompt engineering, LLM evaluation, and AI workflow optimization.
  • Experience building internal tools that improve operational efficiency.
Technology Stack
We don't expect experience with every technology listed below, but familiarity with several is helpful:
  • Python
  • JavaScript / TypeScript
  • SQL / MySQL
  • React
  • AWS (Lambda, API Gateway, DynamoDB, EventBridge, CloudWatch)
  • Snowflake
  • Zendesk
  • Retool
  • Terraform
  • GitHub Actions
  • OpenAI, Claude, and other AI platforms
Why You'll Love This Role
  • Build practical AI solutions that solve real customer and business problems.
  • Own meaningful projects with measurable impact on customer experience and operational efficiency.
  • Work at the intersection of software engineering, automation, and applied AI.
  • Partner closely with Operations, Product, and Engineering teams.
  • Help shape how Upside scales customer support through technology and innovation.
At Upside, we value curiosity, ownership, collaboration, and continuous improvement. If you're excited about building systems that help people work smarter and deliver better customer experiences, we'd love to hear from you.
#LI-Hybrid
#LI-NE1
Benefits:
  • Medical, dental, and vision coverage starting on Day 1
  • Equity (ISOs)
  • 401(k) program
  • Family planning programs + paid parental leave
  • Physical fitness and wellness memberships
  • Emotional and mental health support programs
  • Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break
  • Flexible work environment
  • Lunch reimbursement for in-office employees
  • Employee Resource Groups
  • Learning and Development stipend
  • Transparent culture
  • Amazing mission!

Diversity and Inclusion:
Diversity drives innovation, and our differences make us stronger. We're passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here!
If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com.
This email is for accessibility accommodations only, it should not be used to submit job applications.
Notice To Recruiters And Placement Agencies:
This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

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