1

Urgently Hiring Python Llm Jobs in Illinois (NOW HIRING)

Senior AI Engineer

Chicago, IL

$126K - $166K/yr

... Python and GenAI . * Hands‑on experience building LLM ‑ based systems using commercial or ... The hiring manager has flexibility to hire across several levels of seniority. The level will be ...

Sr AI/ML Engineer

Chicago, IL · On-site

$102.40 - $179/hr

... LLM-powered applications such as RAG systems, Agentic workflows required.* Strong Python expertise ... Estimated Hiring Range:**At Vizient, we consider skills, experience, and organizational needs in ...

Sr AI/ML Engineer

Chicago, IL · On-site

$102K - $179K/yr

... LLM-powered applications such as RAG systems, Agentic workflows required. * Strong Python expertise ... Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our ...

Sr AI/ML Engineer

Chicago, IL · On-site

$102K - $179K/yr

... LLM-powered applications such as RAG systems, Agentic workflows required. Strong Python expertise ... Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our ...

AI Engineering Manager

Oak Brook, IL · On-site

$102.60 - $193.43/hr

Own LLM orchestration architecture for dialogue management, context handling, and session ... Lead hiring and onboarding of engineers* Build a high-trust, high-velocity team culture* Comply ...

IL · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs ...

IL

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs ...

Full Stack Engineer

Chicago, IL · Hybrid

$160K - $180K/yr

Summary We are hiring a Full Stack Engineer to build production applications, APIs, leveraging the ... Design, develop, test, deploy, and maintain production-grade full stack applications using Python ...

Senior Software Engineer

Chicago, IL · On-site

$102K - $179K/yr

Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems ... Strong Python development experience with expertise building production backend services, APIs ...

Senior Software Engineer

Chicago, IL · On-site

$102K - $179K/yr

Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems ... Strong Python development experience with expertise building production backend services, APIs ...

AI Program Manager

Chicago, IL · On-site

$54.09 - $64.09/hr

... LLM),LLM-based,latency,LLMOps,MLOps practices,Python,RAID,relational database,reliability ... At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and ...

next page

Showing results 1-20

Urgently Hiring Python Llm information

What is the difference between Urgently Hiring Python Llm vs Data Scientist?

AspectUrgently Hiring Python Llm
Primary RoleDeveloping and fine-tuning large language models using Python
Required SkillsPython, NLP, machine learning, deep learning, LLM frameworks
Work EnvironmentResearch labs, AI companies, tech startups
Industry UsageAI development, NLP applications, language model deployment

While both roles involve Python and AI, Urgently Hiring Python Llm focuses specifically on large language models, whereas Data Scientists work broadly on data analysis, modeling, and insights across various domains. The Python Llm role emphasizes deep learning and NLP expertise, often in AI-centric environments, making it more specialized compared to the versatile data science position.

What cities in Illinois are hiring for Urgently Hiring Python Llm jobs?

Cities in Illinois with the most Urgently Hiring Python Llm job openings:

Infographic showing various Urgently Hiring Python Llm job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 61% Full Time, 32% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

$126K - $166K/yr

Full-time

Re-posted 25 days ago


Allstate Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 570 frontline employees who took The Breakroom Quiz

235th of 315 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

We are seeking a Senior AI Engineer on the Enterprise Intelligence Factory team to play a foundational role in building the enterprise Semantic Ontology & Dimension Factory Platform. This platform enables AI‑ready analytics by combining semantic ontologies, knowledge graphs, agentic AI, and data engineering to automatically generate business‑ready star schemas from heterogeneous enterprise data sources.
In this role, you will design and implement agent‑driven pipelines that leverage RDF/OWL ontologies, SPARQL, and Large Language Models (LLMs) to perform semantic alignment, dimension mining, and AI‑assisted data modelling at scale. You will work at the intersection of AI, semantics, and modern data platforms, helping establish engineering patterns and best practices for the team.
This is a hands‑on, senior individual-contributor role, ideal for engineers who enjoy building core platform capabilities rather than isolated experiments.

Key Responsibilities:

  • Design, build, and maintain agentic AI pipelines (using Google ADK or similar frameworks) to automate semantic mapping, dimension mining, and ontology‑driven reasoning. 
  • Create and evolve enterprise ontologies in RDF/OWL, including upper ontologies and domain extensions aligned to CIM (where applicable), to enable reusable enterprise semantics. 
  • Engineer LLMpowered services for schema understanding, semantic alignment, ontology enrichment, and AI‑assisted metadata generation, with a focus on accuracy, traceability, and scale. 
  • Implement SPARQL querying and reasoning layers over knowledge graphs to drive downstream transformations and ensure consistent interpretation of business concepts. 
  • Architect and deliver Pythonbased microservices and batch pipelines that integrate semantic reasoning with modern data‑engineering workflows. 
  • Build and optimize dimension and fact generation pipelines on Microsoft Fabric (Lakehouse, Spark, SQL, orchestration) to produce business‑ready star schemas from heterogeneous sources. 
  • Define and enforce engineering standards, design patterns, and reusable components for semantic and AI‑driven data platforms (quality, observability, security, and performance). 
  • Partner with data architects, domain SMEs, and governance teams to validate semantic definitions, manage change, and ensure platform scalability and adoption. 
  • Conduct code reviews, mentor engineers, and influence technical decisions across the platform to raise engineering quality and delivery velocity. 

Required Skills & Qualifications:

  • 6+ years of professional software engineering experience, with strong proficiency in Python and GenAI.  
  • Hands‑on experience building LLMbased systems using commercial or open‑source models.  
  • Solid understanding of semantic technologies: RDF, OWL, ontologies, knowledge graphs, and SPARQL.  
  • Experience designing or working with agentic AI frameworks (e.g., Google ADK, LangChain agents, or similar).  
  • Strong background in data engineering concepts (ETL/ELT, star schemas, metadata‑driven pipelines).  
  • Experience building and operating systems on cloud platforms, preferably Microsoft Azure / Microsoft Fabric.  
  • Strong problem‑solving skills and ability to work in ambiguous, greenfield platform initiatives. 

Preferred Skills:

  • Experience with enterprise data models (e.g., CIM or canonical models).  
  • Familiarity with semantic alignment, ontology mapping, or data cataloguing tools.  
  • Exposure to MLOps / LLMOps, model evaluation, and AI observability.  
  • Knowledge of distributed systems, CI/CD pipelines, and containerisation.  
  • Experience building AIassisted analytics or semantic layers for BI or NLQ use cases. 

The hiring manager has flexibility to hire across several levels of seniority. The level will be determined by the selected applicant's skills and competencies.

#LI-TE1

Skills

Agentic AI, Agentic Design, AI Frameworks, Large Language Models (LLMs), LLM Guardrails, LLM Orchestration, Ontology, Python (Programming Language)

Compensation

Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


What Allstate Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Allstate Insurance logo

About Allstate Insurance

Sourced by ZipRecruiter

We're a purpose-driven company powered by purpose-driven people. We're reinventing protection and transforming the company for our customers, communities and each other. You could play a role in our transformation. Join a 90-year-old, Fortune 100 insurance company as we challenge the status quo, champion inclusion and strengthen our communities. If being a part of that future gives you goosebumps, you've come to the right place. Reinventing the future of protection means rethinking how we work together. From marketing to claims, our employees have flexibility in how, when and where they work — whether at home, the office or both. We're creating an inclusive, diverse and equitable workplace. We encourage collaboration, support taking chances and foster a strong sense of community. Let's build a new kind of Allstate together.

Industry

Insurance services, real estate, finance and insurance and insurance agencies and brokerages

Company size

10,000+ Employees

Headquarters location

Northbrook, IL, US