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Python Engineer Ai Jobs in Chicago, IL (NOW HIRING)

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Senior GenAI/Python Engineer Location: Remote (USA) Employment Type: Full-Time Visa Type: USC / GC ... AI guardrails ✔ Experience building evaluation frameworks, regression testing, and validation ...

Northern Base

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Agentic AI Development * LLM-Powered Agents * LangChain / LangGraph / LlamaIndex * Intent ... Engineering, or related field preferred. Tech Stack: Python | GenAI | LLM | OpenAI | Azure OpenAI ...

Harnham

Software Engineer AI

Mundelein, IL · On-site

$190K - $240K/yr

DoBuild AI-powered features end-to-end (React/TypeScript → Node.js/Python) with streaming and ... Engineers on API contracts; advocate for the user when model outputs break do * wnBuild feedback ...

VeeRteq Solutions Inc.

Agentic AI Engineer

Chicago, IL · On-site

Agentic AI Engineer Location: Chicago, IL (Hybrid - 3 Days Onsite / Week) Role Summary We are ... The ideal candidate will have strong hands-on experience with LLMs, RAG, AI agents, Python, and ...

People In AI

Principal AI Engineer

Mundelein, IL · On-site

$275K - $300K/yr

Principal AI Engineer (AI Platform, Evals & Production Systems) $275k-$300k base plus equity San ... Strong Python skills and the ability to perform well in rigorous coding and system design ...

Spruce Infotech

AI Engineer

Chicago, IL · On-site

Proven expertise in Python and AI/ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn ... Experience with data engineering, feature engineering, and data processing libraries (Pandas, NumPy ...

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Showing results 1-20

All JobsPython Engineer Ai JobsPython Engineer Ai Jobs in Chicago, IL

Python Engineer Ai information

See Chicago, IL salary details

$23.7K

$144.2K

$208.6K

How much do python engineer ai jobs pay per year?

As of Sep 1, 2026, the average yearly pay for python engineer ai in Chicago, IL is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $169,500.00 per year, depending on experience, location, and employer.

What is the difference between Python Engineer Ai vs Data Scientist?

AspectPython Engineer AiData Scientist
Required SkillsPython, AI/ML frameworks, software developmentStatistics, data analysis, Python, machine learning
Work EnvironmentSoftware development teams, AI projectsResearch, data analysis, business insights
Common CertificationsPython certifications, AI/ML coursesData Science certifications, statistical courses
Industry UsageTech, AI startups, software companiesFinance, healthcare, marketing, research

Python Engineer Ai focuses on developing AI applications and integrating machine learning models into software systems, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical methods and data visualization. While both roles involve Python and machine learning, Python Engineer Ai emphasizes software development for AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Python Engineer Ai jobs in Chicago, IL?

For Python Engineer Ai jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Python Engineer Ai jobs in Chicago, IL look for?

The top searched job categories for Python Engineer Ai jobs in Chicago, IL are:

Python Engineer Ai jobs near you

Senior GenAI/Python Engineer

Chicago, IL • Remote

Northern Base
See more jobs at Northern Baseexternal

$124K - $167K/yr

Full-time

Posted 29 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