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Llm Developer Jobs in Chicago, IL (NOW HIRING)

Vizient

Sr AI/ML Engineer

Chicago, IL · On-site

$102K - $179K/yr

We are seeking engineers who are driven, curious, and energized by the pace of AI innovation ... Evaluate model and LLM performance using automated and human-in-the-loop methods while implementing ...

Vizient, Inc

Sr AI/ML Engineer

Chicago, IL · On-site

$125 - $150/hr

Sr AI/ML Engineer page is loaded## Sr AI/ML Engineerlocations: Irving, TX 75062 Vizient Corporate ... Evaluate model and LLM performance using automated and human-in-the-loop methods while implementing ...

Vizient, Inc.

Sr AI/ML Engineer

Chicago, IL

$102K - $179K/yr

We are seeking engineers who are driven, curious, and energized by the pace of AI innovation ... Evaluate model and LLM performance using automated and human-in-the-loop methods while implementing ...

Deloitte

Forward Deployed Engineer- AWS

Chicago, IL · On-site

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ...

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Architect and integrate agentic AI and LLM-driven workflows (autonomous agents, RAG pipelines, AI ... Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps/DataOps practices.

Allstate

Senior AI Engineer

Chicago, IL · On-site

$126K - $166K/yr

Engineer LLM ‑ powered services for schema understanding, semantic alignment, ontology enrichment, and AI‑assisted metadata generation, with a focus on accuracy, traceability, and scale.

Permute AI, Inc

Senior Software Engineer

Chicago, IL · On-site

$180K - $280K/yr

Build and maintain LLM-powered agents and tool-integration pipelines * Develop infrastructure for model evaluation, benchmarking, and monitoring * Collaborate with product, research, and engineering ...

TEKsystems

AI Security Engineer

Bolingbrook, IL

$75 - $80/hr

Support secure integration of third-party and internally built AI/LLM services (API gateways, guardrail middleware, output filtering). Collaborate with data science, platform engineering, and ...

TEKsystems

AI Security Engineer

Bolingbrook, IL · Hybrid

$75 - $80/hr

Support secure integration of third-party and internally built AI/LLM services (API gateways, guardrail middleware, output filtering). Collaborate with data science, platform engineering, and ...

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All JobsLlm Developer JobsLlm Developer Jobs in Chicago, IL

Llm Developer information

See Chicago, IL salary details

$26

$51

$82

How much do llm developer jobs pay per hour?

As of Sep 8, 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:

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For Llm Developer jobs in Chicago, IL, the most frequently searched job titles are:

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Llm Developer jobs near you
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.

AIOps Engineering Lead (W2 candidate only)

Metalight Solutions Inc

Chicago, IL • On-site

$105K - $139K/yr

Other

Posted 17 days ago

Job description

Job Title: AIOps Engineering Lead
Location: Chicago, IL (3days On-Site, 2days Remote)
Position Type: Contract (W2 Candidate Only)

Strong Experience Combining: Google Cloud Platform + Vertex AI + Databricks + Kubernetes + Python + CI/CD + LLM/RAG + Production ML + Observability + Data Engineering + Security.

Position Overview

We are seeking a highly experienced AIOps Engineering Lead to drive the deployment, operational reliability, observability, and continuous delivery of enterprise AI systems across Google Cloud Platform (Google Cloud Platform) and Databricks.

The ideal candidate will combine strong AI/ML engineering, cloud infrastructure, DevOps/MLOps, and production operations expertise. This person will be responsible for operationalizing LLM, RAG, Agentic AI, multimodal, and predictive ML workloads in enterprise production environments.

This is a hands-on technical leadership role requiring strong experience with production AI systems, Google Cloud Platform, Kubernetes, Python, CI/CD, observability, security, data engineering, and incident management.

Key Responsibilities

  • Own the SLO/SLA, production readiness, reliability, and operational posture of enterprise AI services.
  • Lead production incident management including triage, mitigation, root-cause analysis (RCA), remediation, and prevention automation.
  • Deploy and operationalize LLM, RAG, Agentic AI, multimodal, and ML systems using scalable Google Cloud Platform-native and Databricks architectures.
  • Build and standardize automated AI/ML pipelines covering versioning, testing, deployment, monitoring, rollback, and release management.
  • Establish comprehensive observability across application performance, model quality, data quality, drift, safety, latency, errors, throughput, and cost.
  • Optimize AI workloads for GPU/CPU utilization, autoscaling, performance, throughput, and cloud cost efficiency.
  • Implement enterprise security and governance controls covering IAM, secrets management, auditability, lineage, approvals, and Responsible AI.
  • Partner with AI/ML engineers, data engineers, DevOps teams, architects, product teams, and offshore engineering teams.
  • Act as the technical lead for production AI operations and drive cross-functional execution.
  • Develop reusable platform templates, reference architectures, golden paths, deployment patterns, and operational runbooks.
  • Continuously improve automation, reliability, deployment processes, monitoring, and incident prevention.

Required Technical Skills

AI / ML / GenAI

  • Strong hands-on experience operating LLM and RAG applications in production.
  • Experience with Agentic AI / AI agents and enterprise AI workloads.
  • Experience supporting production machine learning systems and pipelines.
  • Understanding of model monitoring, data drift, model quality, AI safety, and AI governance.

Google Cloud Platform

Strong hands-on experience with:

  • Google Cloud Platform (Google Cloud Platform)
  • Vertex AI
  • Cloud Run
  • Pub/Sub
  • Cloud Build
  • BigQuery

Data & ML Platforms

  • Databricks
  • Apache Airflow / Cloud Composer
  • Data engineering and schema governance
  • Batch and streaming data processing

DevOps / Platform Engineering

  • Python
  • Docker
  • Kubernetes
  • CI/CD
  • Production deployment and release automation
  • Infrastructure/platform automation
  • Monitoring and observability

Security & Governance

  • Cloud IAM
  • Secrets management
  • Auditability and compliance
  • Data/model lineage
  • Production approvals and governance
  • Responsible AI controls

Preferred Qualifications

  • Experience with Google ADK or similar agentic AI frameworks.
  • Experience building internal AI/ML platforms or reusable engineering frameworks.
  • Contributions to internal platforms, reusable templates, reference architectures, or open-source tooling.
  • Experience with enterprise-scale AI operations and production reliability.
  • Strong stakeholder management and communication skills.

Apply