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Llm Developer Jobs in Chicago, IL (NOW HIRING)

Appex Innovation

Senior Java Developer

Chicago, IL · Hybrid

$70 - $75/hr

Java Developer (Senior) Location: Chicago, IL - hybrid Key Areas: AI-DLC Senior Developer ... Develop and integrate AI/GenAI capabilities hands-on, including prompt design, LLM integration, RAG ...

Appex Innovation

Senior Java Developer

Chicago, IL · Hybrid

$59 - $75.25/hr

Java Developer (Senior) Location: Chicago, IL - hybrid Key Areas: AI-DLC Senior Developer ... Develop and integrate AI/GenAI capabilities hands-on, including prompt design, LLM integration, RAG ...

BC Forward

Java Developer with AI

Chicago, IL · On-site

$45 - $48.27/hr

Java Developer - Notifications Platform & AI Engineering Location: Chicago, IL Duration: Temp - 9 ... Develop and integrate AI/GenAI capabilities, including prompt design, LLM integration, RAG ...

Tata Consultancy Service Limited

AI Engineer

Chicago, IL · On-site

$100K - $120K/yr

The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise. Key ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Llama LLM * LangChain * LlamaIndex * Docker * AWS * Azure * Vector Databases * Machine Learning ...

Tata Consultancy Service Limited

AI Ops Leader

Chicago, IL · On-site

$130K - $150K/yr

... LLM • AI governance, risk, security, and compliance frameworks [ • AI platform engineering and operational tooling experience • Performance optimization (latency, cost, scalability) for AI ...

Pulsora, Inc.

AI Engineer - United States

Chicago, IL · Remote

$50K - $60K/yr

About the job We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ... LLM Integration & Development : Design, develop, and deploy production-grade applications ...

Deloitte

AI Engineer Consultant

Chicago, IL · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

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 ...

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 ...

Allstate

Senior AI Engineer

Chicago, IL

$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.

Pulsora, Inc.

Applied AI Engineer - US

Chicago, IL · Remote

$50K - $60K/yr

Design, develop, and deploy LLM-powered applications and agent-based systems in production * Own ... Contribute to evolving best practices for AI-first engineering * Ensure Quality, Reliability ...

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Llm Developer information

See Chicago, IL salary details

$26

$51

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How much do llm developer jobs pay per hour?

As of Aug 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 Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.
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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 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $107,574 per year, or $51.7 per hour.

Senior Java Developer

Appex Innovation

Chicago, IL • Hybrid

$70 - $75/hr

Full-time

Posted 17 days ago

Job description

We are hiring a Java Developer - Senior with our client in Chicago, IL for a hybrid role.

Job Details:
Role: Java Developer (Senior)
Location: Chicago, IL - hybrid
Key Areas: AI-DLC
Senior Developer - Notifications Platform & AI Engineering
Description - External
Domain: Airlines.
Experience: 12+ YOE
Eligibility: USC, GC,L2S, EADs
Type: Contract-W2/ FTE

Summary:
United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, digital solutions, and practical AI-enabled capabilities.
The Notifications team enables enterprise communication capabilities supporting customer and crew portfolios. This contractor role will focus on hands-on design, development, modernization, and production delivery of notification platform services, integrations, event-driven capabilities, and AI-enabled communication use cases.

Key Responsibilities:
The role of Senior Developer will have a technical focus on enabling Notifications at the enterprise level and supporting a robust communication platform for customer and crew portfolios. This is a hands-on senior individual contributor role. This is not a management role. The expectation is to actively design, code, debug, optimize, deploy, and support production-grade solutions.

• Design AND implement core services for the enterprise Notifications platform, including APIs, event-driven integrations, orchestration components, templates, and platform capabilities.

• Write, review, debug, and optimize production code actively; lead through hands-on engineering contribution rather than delegation.

• Build cloud-native backend services using Java, Spring Boot, Apache Camel, microservices, container technologies, and AWS services.

• Develop and integrate AI/GenAI capabilities hands-on, including prompt design, LLM integration, RAG pipelines, embeddings/vector search, semantic search, classification, summarization, and AI-assisted communication workflows.

• Prototype, validate, and productionize AI-enabled features while considering latency, accuracy, cost, monitoring, fallback design, and operational reliability.

• Design solutions for high availability, scalability, resiliency, observability, performance, security, privacy, and compliance needs.

• Support integrations with internal enterprise systems, eventing platforms, data providers, communication providers, and vendor-managed services as needed.

• Troubleshoot and resolve complex production issues directly, including performance bottlenecks, integration failures, data issues, and system reliability concerns.

• Work closely with architects, product owners, business stakeholders, development teams, and vendor teams to convert requirements into working solutions.

• Contribute to technical design, system documentation, code reviews, automated testing, CI/CD pipelines, release readiness, and production support practices.

• Ensure solutions are aligned with enterprise engineering standards, security expectations, and application lifecycle best practices.

• Mentor developers through code-level guidance, design reviews, and engineering best practices; however, the primary expectation remains hands-on delivery.

Qualifications - External
What is needed to succeed (Minimum Qualifications):

• Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent work experience required.

• Minimum 8 years of overall experience in software engineering, application development, integration, and SDLC delivery.

• Strong recent hands-on software development experience; candidate must be comfortable spending majority of time coding, debugging, designing, and delivering working software.

• Minimum 8 years of hands-on Java backend development experience, including Spring Boot, REST APIs, microservices, and open-source technologies.

• Minimum 3 years of hands-on experience with event-driven systems, messaging, streaming, integration, or notification platform capabilities.

• Hands-on experience with Apache Camel or equivalent enterprise integration frameworks.

• Minimum 4 years of hands-on experience with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ, or related services.

• Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications; AI experience should not be limited to strategy, vendor discussions, or conceptual understanding.

• Practical experience involves personally implementing one or more AI capabilities such as LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, AI-assisted workflow automation, or decision-support capabilities.

• Understanding responsible AI and secure AI engineering practices, including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review where needed, and auditability.

• Experience with observability and analytics tools such as Dynatrace, ELK Stack, CloudWatch, or equivalent tools.

• Experience working in agile delivery environments where CI/CD, automated testing, code quality, deployment readiness, and production support are critical.

• Demonstrated knowledge of software engineering best practices such as version control, software packaging, release management, automated testing, secure coding, and operational readiness.

• Strong analytical and problem-solving skills with ability to diagnose complex technical issues independently.

• Must be self-motivated, collaborative, and able to communicate effectively with technical and non-technical stakeholders.

What will help you propel from the pack (Preferred Qualifications):

• Experience designing and developing enterprise notification, communication, customer messaging, content management, or eventing platform solutions.

• Experience with Twilio or similar communication/messaging platforms.

• Experience applying AI to communication use cases such as personalization, routing, prioritization, content quality checks, template assistance, intent classification, summarization, or operational anomaly detection.

• Experience with AI observability, LLMOps/MLOps practices, model/prompt evaluation, AI guardrails, and production monitoring of AI-enabled features.

• AWS certification or equivalent cloud certification.

• Experience in high-scale, 24x7 production environments.

• Airline, travel, customer platforms, or crew operations domain experience.

Candidate Profile Guidance for Vendors:

• Submit candidates with strong hands-on individual contributor experience, not primarily people management profiles.

• Candidate should show recent coding and production delivery experience in Java/backend/cloud systems.

• Candidate should have real implementation experience in AI/GenAI capabilities, not only AI awareness, training, governance, or tool evaluation experience.

• Profiles that are architecture-only, governance-heavy, or delivery-management focused without recent hands-on coding will not be a fit.

Role Type:

• Senior hands-on individual contributor role within the Notifications platform team.

• Primary focus is hands-on engineering delivery, production support, and AI-enabled platform implementation.