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Llm Developer Jobs in Chicago, IL (NOW HIRING)

Senior Graph Developer

Brookfield, IL · Hybrid

$54.75 - $72.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Berkeley, IL · Hybrid

$53.75 - $71.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Deerfield, IL · Hybrid

$55.50 - $73.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Lyons, IL · Hybrid

$54.50 - $72/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Establish approaches for evaluating and maintaining the quality of non-deterministic AI/LLM-based ... Experience developing reusable AI frameworks, libraries, APIs, or developer tooling. * Experience ...

Senior Graph Developer

Kenilworth, IL · Hybrid

$56.25 - $74.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

La Grange, IL · Hybrid

$53.25 - $70.50/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Bloomingdale, IL · Hybrid

$54.25 - $71.75/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Northlake, IL · Hybrid

$54 - $71.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Chicago, IL · Hybrid

$56.25 - $74.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Maywood, IL · Hybrid

$53.50 - $70.50/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Burr Ridge, IL · Hybrid

$53.75 - $71/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Glenview, IL · Hybrid

$53.75 - $71/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Hines, IL · Hybrid

$54 - $71.25/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Lisle, IL · Hybrid

$53.75 - $71/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Oak Brook, IL · Hybrid

$55 - $72.75/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Ridgefield, IL · Hybrid

$53 - $69.75/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Senior Graph Developer

Hodgkins, IL · Hybrid

$54 - $71.50/hr

Experience with Generative AI integration and LLM-based applications. * Experience building backend ... Collaborate with architecture, engineering, and business teams to translate complex requirements ...

Showing results 41-60

Llm Developer information

See Chicago, IL salary details

$26

$51

$82

How much do llm developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for llm developer in Chicago, IL is $51.72, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $62.69 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

What are the most commonly searched types of Llm Developer jobs in Chicago, IL?

The most popular types of Llm Developer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Llm Developer jobs?

Cities near Chicago, IL with the most Llm Developer job openings:

Infographic showing various Llm Developer job openings in Chicago, IL as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $107,574 per year, or $51.7 per hour.

Senior Graph Developer

Long Finch Technologies

Brookfield, IL • Hybrid

$54.75 - $72.25/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

We are seeking an experienced Senior Graph Developer to design, build, and scale enterprise-level graph database solutions. The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and reduce AI hallucinations.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Architecture, or a related technical field.
  • 10+ years of professional experience in software engineering, data engineering, or graph technology development.
  • Extensive hands-on experience designing, implementing, and managing production-scale Amazon Neptune graph database environments.
  • Strong expertise in graph query languages such as SPARQL and/or Gremlin.
  • Strong experience designing and developing data engineering and ETL pipelines.
  • Practical experience implementing GraphRAG solutions and integrating knowledge graphs with AI/ML workflows.
  • Advanced programming experience in Python or JVM-based languages such as Java or Scala.
  • Strong understanding of AWS cloud services, including:
    • Amazon Neptune
    • AWS S3
    • Amazon RDS
    • Amazon ECS
  • Experience designing enterprise ontologies, taxonomies, and graph schemas.
Preferred Qualifications
  • Experience with Generative AI integration and LLM-based applications.
  • Experience building backend APIs and services.
  • Experience integrating graph databases with vector databases and hybrid search architectures.
  • Strong understanding of knowledge graph modeling and semantic technologies.
  • Experience working with large-scale distributed systems.
Key Responsibilities
  • Design and develop enterprise ontologies, taxonomies, and graph schemas representing complex business domains.
  • Architect, configure, monitor, and scale Amazon Neptune environments capable of handling billions of relationships.
  • Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin.
  • Build and maintain data ingestion frameworks and ETL pipelines for graph-based applications.
  • Integrate knowledge graphs into GraphRAG pipelines to improve AI response accuracy, contextual grounding, and reduce hallucinations.
  • Partner with AI/ML teams to implement hybrid search solutions combining graph traversal capabilities with vector database technologies.
  • Develop scalable backend services and APIs supporting graph-powered applications.
  • Collaborate with architecture, engineering, and business teams to translate complex requirements into scalable graph solutions.
  • Ensure reliability, security, and performance of graph database infrastructure.