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Python Llm Jobs in Chicago, IL (NOW HIRING)

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

... LLM applications using OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or similar model APIs ✔ ... Python programming and orchestration of parallel LLM/API calls ✔ Strong SQL skills with ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$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 ...

Pulsora, Inc.

AI Engineer - United States

Chicago, IL · Remote

$50K - $60K/yr

Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python * Code Quality & Productivity

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

Databricks, MLflow, Unity Catalog, Delta Lake, model serving; production Python AI/ML engineering; RAG and LLM application architecture; multi-agent workflows; MCP/tool calling; LangGraph/Semantic ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python llm in Chicago, IL is $60.39, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

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.

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Python Llm jobs near you

Senior GenAI/Python Engineer

Northern Base

Chicago, IL • Remote

$124K - $167K/yr

Full-time

Posted 8 days ago

Job description

Role: Senior GenAI/Python Engineer

Location: Remote (USA)

Employment Type: Full-Time

Visa Type: USC / GC Only

✅ Must-Have Qualifications:

✔ 7–9 years of overall IT experience with 5+ years of advanced professional Python development

✔ Strong hands-on experience writing clean, tested, maintainable Python code using typing, pytest, packaging standards, Git, CI/CD, Docker, and code review best practices

✔ 1.5+ years of hands-on experience building production-grade GenAI / LLM applications using OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or similar model APIs

✔ Experience building LLM-powered agents, including intent classification, domain-specific agents, agentic extraction workflows, and multi-step orchestration

✔ Strong hands-on experience with LangChain, LangGraph, LlamaIndex, function calling, tool usage, or custom agent orchestration frameworks

✔ Experience implementing structured LLM output using JSON Schema, Pydantic, validation logic, retry/repair strategies, and output enforcement

✔ Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector search, chunking, hybrid search, reranking, entity resolution, fuzzy matching, and confidence scoring

✔ Experience working with vector databases such as pgvector, Pinecone, Weaviate, OpenSearch, Snowflake Vector Functions, or equivalent technologies

✔ Strong API development experience using FastAPI, Flask, or Django frameworks

✔ Experience with asynchronous Python programming and orchestration of parallel LLM/API calls

✔ Strong SQL skills with experience working on large-scale analytical datasets

✔ Cloud platform experience with Azure preferred; AWS or GCP experience is also acceptable

✔ Experience designing and developing scalable microservices and integrating downstream APIs and services

✔ Knowledge of prompt engineering, structured output validation, function calling, tool integration, and AI guardrails

✔ Experience building evaluation frameworks, regression testing, and validation pipelines for LLM-based applications

✔ Excellent written and verbal communication skills with the ability to collaborate across engineering, product, and business teams