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Llm Developer Jobs in Chicago, IL (NOW HIRING)

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

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Agentic Workflows (Strong), Communication & collaboration (Strong), Lang chain, Python (Strong), LLM Foundations. Good to have skills: * DevOps - GenAI, Transformer-based models and seq-to-seq ...

AI Quality Engineer / Lead

Chicago, IL · On-site

$74K - $95K/yr

Design, develop, and execute AI Quality Engineering strategies supporting AI-powered applications, large language model (LLM) solutions, intelligent automation, agentic systems, and enterprise AI ...

Senior Graph Developer

Willowbrook, 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

Northbrook, IL · Hybrid

$55.25 - $73/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 21-40

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 GenAI/Python Engineer

Tata Consultancy Service Limited

Chicago, IL • On-site

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 hours ago


Key responsibilities

  • Build and enhance LLM-powered agentic applications using Python.

  • Develop intent classification, domain-specialist agent workflows, and agentic extraction pipelines for complex user questions.

  • Design, build, and consume FastAPI-based microservices.


Job description

Must Have Technical/Functional Skills
  • 5+ years of advanced professional Python development experience with production-grade coding practices.
  • Strong hands-on experience writing clean, tested, maintainable code using typing, pytest, packaging standards, Git, CI/CD, Docker, and code review discipline.
  • 1.5+ years of hands-on experience building GenAI / LLM applications in production using OpenAI, Azure OpenAI, Anthropic, Bedrock, or similar model APIs.
  • Experience building LLM-powered agents, including intent classification, domain-specific agents, agentic extraction flows, and multi-step orchestration.
  • Hands-on experience with Agentic AI frameworks or patterns such as LangChain, LangGraph, LlamaIndex, function calling, tool use, or custom orchestration.
  • Strong experience in structured output extraction from LLMs using JSON schema enforcement, Pydantic, retry/repair strategies, and validation logic.
  • Experience with RAG and vector search concepts including embeddings, chunking, hybrid search, reranking, entity resolution, fuzzy matching, confidence thresholds, and disambiguation flows.
  • Working knowledge of vector databases or search platforms such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake vector functions, or equivalent.
  • Strong API development experience using FastAPI or similar frameworks such as Flask or Django.
  • Experience with async Python and orchestration of parallel LLM/API calls.
  • Strong SQL skills and comfort working with large analytical datasets.
  • Cloud environment experience, preferably Azure; AWS or GCP acceptable.
  • Strong written and verbal communication skills, with ability to collaborate directly with engineering teams, product owners, and cross-functional stakeholders.

Roles & Responsibilities
  • Build and enhance LLM-powered agentic applications using Python.
  • Develop intent classification, domain-specialist agent workflows, and agentic extraction pipelines for complex user questions.
  • Build natural-language-to-structured-payload pipelines that convert user utterances into accurate JSON query payloads, including filters, exclusions, rankings, and metric selection.
  • Integrate semantic search and vector retrieval services for embedding-based entity resolution, fuzzy matching, confidence scoring, and disambiguation flows.
  • Design, build, and consume FastAPI-based microservices.
  • Implement async orchestration patterns for parallel LLM calls, API calls, and downstream service integrations.
  • Develop prompt engineering patterns, structured output enforcement, JSON schema validation, function calling, tool usage, and guardrails.
  • Build evaluation harnesses, test sets, and regression test frameworks to measure extraction accuracy and validate prompt/model changes.
  • Work with metadata/catalog services, entitlement-aware data access, and reporting-engine payload contracts.
  • Collaborate with multiple platform, data, service, and product teams to deliver production-ready GenAI capabilities.
  • Write clear technical documentation including Confluence pages, ADRs, sequence diagrams, and flow diagrams.
  • Participate in hands-on technical evaluation, code reviews, design discussions, and production readiness reviews.

Salary Range-$90,000-$130,000 a year
#LI-KR3
TCS Employee Benefits Summary:
Discretionary Annual Incen tive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.