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Python Ai Developer Jobs in Joliet, IL (NOW HIRING)

Data Engineer - Python/AI

Addison, IL · On-site

$114K - $137K/yr

... development in Python * 3+ years of handson AI/ML experience , building and deploying machine ... Handson experience with CI/CD pipelines , automation, and DevOps practices for ML and application ...

We are looking for a highly skilled Senior Python AI Developer with deep expertise in building intelligent agents using Google Vertex AI, particularly with Gemini or OpenAI models. The ideal ...

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 ...

Build high-performance, asynchronous REST/gRPC APIs and microservices using Python (FastAPI/Flask ... engineering, with at least 2+ years dedicated to building and deploying production-level AI/GenAI ...

New

Certifications in Azure AI Engineer, python is a plus. * Strong background in AI agent ecosystems (multi-agent patterns, orchestration concepts, agent registries, tool routing, memory/state ...

New

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Agentic AI Development * LLM-Powered Agents * LangChain / LangGraph / LlamaIndex * Intent ... Engineering, or related field preferred. Tech Stack: Python | GenAI | LLM | OpenAI | Azure OpenAI ...

Python Tutor

Chicago, IL · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

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Python Ai Developer information

See Joliet, IL salary details

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How much do python ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ai developer in Joliet, IL is $56.74, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.42 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What job categories do people searching Python Ai Developer jobs in Joliet, IL look for?

The top searched job categories for Python Ai Developer jobs in Joliet, IL are:

What cities near Joliet, IL are hiring for Python Ai Developer jobs?

Cities near Joliet, IL with the most Python Ai Developer job openings:

Infographic showing various Python Ai Developer job openings in Joliet, IL as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $118,012 per year, or $56.7 per hour.

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 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.