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Python Llm Jobs in Illinois (NOW HIRING)

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Proficiency in Python, SQL, APIs, cloud platforms, and workflow automation tools. * Experience ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Proficiency in Python, SQL, APIs, cloud platforms, and workflow automation tools. * Experience ...

VeeRteq Solutions Inc.

Agentic AI Engineer

Chicago, IL · On-site

The ideal candidate will have strong hands-on experience with LLMs, RAG, AI agents, Python, and ... Knowledge of embeddings, prompt engineering, semantic search, and LLM evaluation * Experience with ...

State Farm

Lead GenAI Engineer (LLM)

Bloomington, IL · On-site

$97K - $128K/yr

Design & Deploy AI/GenAI Solutions - Architect and implement LLM-powered applications, agentic ... Proficiency in Python and/or TypeScript for API and AI integration development * Familiarity with ...

State Farm

Lead GenAI Engineer (LLM)

Bloomington, IL · Hybrid

$97K - $128K/yr

Proficiency in Python and/or TypeScript for API and AI integration development * Familiarity with ... Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems * Strong ...

Pwc

GenAI Python Systems Engineer-Manager

Rosemont, IL

$99K - $232K/yr

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

Pwc

GenAI Python Systems Engineer-Manager

Chicago, IL

$99K - $232K/yr

... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...

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Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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

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

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

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

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

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

What cities in Illinois are hiring for Python Llm jobs?

Cities in Illinois with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Senior GenAI/Python Engineer

Tata Consultancy Service Limited

Chicago, IL • On-site

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

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.

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