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Python Llm Jobs in Romeoville, IL (NOW HIRING)

Associate AI Engineer

Chicago, IL · On-site

$80K - $133K/yr

Develop LLM evaluation frameworks (accuracy, hallucination detection, relevance, safety ... Build backend APIs/services (Python-based frameworks) * Ensure production readiness (logging ...

... LLM-based agentic pipelines (e.g., with LangChain, Vertex AI, etc.). Experience fine-tuning LLMs is a plus. * Machine learning for multimodal data : Completed projects in Python to develop predictive ...

Hands-on software development experience in Python and/or TypeScript/Node.js, with proven ability ... Hands-on GenAI/LLM application experience including agents, tool/function calling, RAG ...

Associate AI Engineer

Chicago, IL · On-site

$80K - $133K/yr

Develop LLM evaluation frameworks (accuracy, hallucination detection, relevance, safety ... Build backend APIs/services (Python-based frameworks) * Ensure production readiness (logging ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

Own endtoend LLM systems: architecture, training, evals, and iteration * Finetune and extend ... Strong Python plus PyTorch or JAX * Experience with largescale data pipelines and experiment ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

You will: * Own end‑to‑end LLM systems: architecture, training, evals, and iteration ... Strong Python plus PyTorch or JAX * Experience with large‑scale data pipelines and experiment ...

Senior Data AI Engineer

Chicago, IL

$109K - $148K/yr

... LLM consumption. * Implement modernlakehousepatterns on Google Cloud Platform (GCP) - including ... Strong coding fluency in Python; hands-on experience with BigQuery, Claude Code, RAG architectures ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

Own end-to-end LLM systems: architecture, training, evals, and iteration * Fine-tune and extend ... Strong Python plus PyTorch or JAX * Experience with large-scale data pipelines and experiment ...

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale -- not just run ...

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python llm in Romeoville, IL is $59.77, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $67.88 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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 cities near Romeoville, IL are hiring for Python Llm jobs? Cities near Romeoville, IL with the most Python Llm job openings:
Senior Software Development Engineer - GenAI Platform

Senior Software Development Engineer - GenAI Platform

Expedia Group

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago


Expedia Group rating

7.9

Company rating: 7.9 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

5th of 11 rated travel agencies


Job description

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.
Introduction to the Team:
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
The Senior Software Developer role is part of the GenAI Platform team. The GenAI Platform team builds and operates Expedia Group's shared generative AI platform - tooling, services, and guardrails - that enable product and ML teams to safely experiment with, deploy, and scale GenAI-powered experiences across our brands. You will lead the design, delivery, and evolution of scalable GenAI services and multi-agent infrastructure that power secure, observable GenAI capabilities across Expedia Group. By shaping multi-agent platform architecture, codifying guardrails and best practices, and partnering closely with product and domain engineering teams, you will accelerate how internal teams build, integrate, and safely operate AI-enabled experiences for travelers and partners at global scale.
In this role, you will:
  • Design, build, and operate Python/FastAPI backend services and APIs that power GenAI Platform capabilities such as RAG managers, data planes, and vector store services, with strong focus on system design, API design, and data modeling.
  • Implement clean, maintainable, and well-tested code using modern engineering practices including code reviews, CI/CD pipelines, automated testing, monitoring, alerting, and participating in on-call rotations where applicable.
  • Integrate platform services with internal and external LLM providers, Elasticsearch-based vector stores, and Aurora PostgreSQL as part of scalable, reliable RAG and retrieval workflows across multiple domains.
  • Contribute to and evolve GenAI platform guardrails and safety features (authentication, API key management, workload-to-workload authentication, evaluation and observability hooks) so AI-enabled applications are secure, responsible, observable, cost-aware, and safely integrate and operate AI/ML-enabled solutions that improve outcomes.
  • Partner closely with staff and principal engineers, product managers, applied scientists, and other engineering teams to refine requirements, shape platform architecture (including multi-tenant vector stores and workflow integrations), and deliver incremental, production-ready value.
  • Create and maintain clear technical documentation (design docs, runbooks, implementation guides, and how-tos) that enables other teams to successfully adopt, extend, and build on GenAI Platform services and paved roads.

Minimum Qualifications:
  • Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
  • 8+ years of relevant professional experience, including building and operating backend services and APIs with end-to-end ownership from design through deployment and ongoing operational support.
  • Proven proficiency in Python and experience developing production-grade web services using FastAPI or similar modern frameworks (such as Flask, Django, or other async service frameworks), with solid understanding of system design, API design, and data modeling.
  • Experience building and running backend APIs in public or hybrid cloud environments, with hands-on exposure to core cloud services (AWS preferred) and at least one data store technology (relational, NoSQL, or search), such as Aurora PostgreSQL or Elasticsearch.
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including exposure to LLM-powered capabilities, embeddings, or RAG patterns, or demonstrated ability to ramp up quickly using internal GenAI Platform tools and documentation.

Preferred Qualifications:
  • Deep experience building and operating Python-based backend APIs at scale on AWS or similar cloud providers, including performance tuning, resilience patterns, and advanced API and data modeling for high-traffic or multi-tenant services.
  • Hands-on experience with RAG and vector store tooling (for example, LangChain, LlamaIndex, LangGraph) and evaluation or observability frameworks (such as LangSmith or Langfuse), including safely integrating and operating AI/ML-enabled solutions that improve outcomes.
  • Experience integrating and optimizing LLM-powered systems end to end, including prompt and retrieval design, embeddings management, Elasticsearch vector search, Aurora PostgreSQL schemas, and platform-level guardrails such as auth, quota, and evaluation hooks.
  • Background building internal platforms, SDKs, or shared services adopted by multiple product teams, including clear documentation, paved road patterns, and close collaboration with cross-functional partners (product management, applied science, and engineering).
  • Experience designing or implementing workflow and agent orchestration-based solutions (for example, using n8n, Flowise, or similar) to build multi-tool or multi-agent GenAI applications, and familiarity with AI-driven platform architectures and safety-by-design practices.

The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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