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Senior Python Ai Jobs in Illinois (NOW HIRING)

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy ... Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow ...

OneStream

Senior AI Engineer

Chicago, IL

$107K - $147K/yr

Senior AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Use Python and SQL to build AI systems and functionality. * Troubleshoot and debug issues across ...

DV Trading A/S

Senior AI Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior AI Engineer will lead the development of production agent systems and establish ... Required : • 5+ years software engineering; strong Python • Production LLM-powered agent ...

Gallagher

Sr. AI Engineering Lead

Rolling Meadows, IL

Overview The Senior AI Engineering Lead owns the technical delivery of enterprise AI solutions at ... NET/Python stack. You will set engineering standards for a growing AI team, mentor developers, and ...

micro1 AI

Senior Scientific Reviewer - Physics

Elgin, IL · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

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Senior Python Ai information

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the most commonly searched types of Python Ai jobs in Illinois?

The most popular types of Python Ai jobs in Illinois are:

What are popular job titles related to Senior Python Ai jobs in Illinois?

For Senior Python Ai jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Illinois look for?

The top searched job categories for Senior Python Ai jobs in Illinois are:

What cities in Illinois are hiring for Senior Python Ai jobs?

Cities in Illinois with the most Senior Python Ai job openings:

Senior Python Ai jobs near you

AI Developer

Tror AI for everyone

Mettawa, IL • On-site

$80/hr

Contractor

Re-posted 11 days ago

Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Rate: $80/hr on C2C

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Key Responsibilities

  • Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI. 

 

Required Skills & Qualifications

  • Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.