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Python Flask Jobs in Illinois (NOW HIRING)

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

IL ยท On-site

Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks. *Architect and implement LLM applications, LangChain workflows, and RAG pipelines. *Define ...

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Python Flask information

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$12

$56

$83

How much do python flask jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python flask in Illinois is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What is a Python Flask?

A Python Flask job typically involves developing web applications using the Flask framework, a lightweight and flexible web framework for Python. Responsibilities may include building APIs, handling request-routing, integrating with databases, and deploying applications. Flask developers often work with front-end technologies and cloud platforms to create scalable and efficient web solutions.

What are some typical daily responsibilities for a Python Flask developer?

As a Python Flask developer, your daily tasks often include designing and building web application features, developing and maintaining RESTful APIs, and troubleshooting code issues. You'll frequently collaborate with front-end developers, QA engineers, and product managers to ensure seamless integration and alignment with project goals. Keeping codebases well-documented and participating in code reviews are also common aspects of the role. Additionally, you'll likely be involved in deploying applications to production environments and staying updated with industry best practices for security and performance.

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

To thrive as a Python Flask developer, you need a strong command of Python programming, a thorough understanding of Flask web framework concepts, and experience with RESTful API design and implementation. Familiarity with tools such as Git, Docker, and relational databases, as well as certifications in web development or related fields, are often beneficial. Excellent problem-solving skills, effective communication, and the ability to work collaboratively in agile teams set standout candidates apart. These skills ensure high-quality, scalable application development and efficient teamwork in a dynamic tech environment.

Infographic showing various Python Flask 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, with an average salary of $118,156 per year, or $56.8 per hour.

Senior AI Solutions Architect

Ridgefield, IL โ€ข On-site

Full-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on architecture, Python development, AWS, and production AI applications.

Responsibilities

*Own the end-to-end architecture and technical design of LLM and Generative AI solutions.
*Translate business requirements into scalable solution architectures, technical plans, and development tasks.
*Define architecture standards, integration patterns, technical decisions, and engineering best practices.
*Provide technical direction, mentor engineers, and lead design and code reviews.
*Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks.
*Architect and implement LLM applications, LangChain workflows, and RAG pipelines.
*Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation.
*Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or similar technologies.
*Establish monitoring and evaluation for quality, relevance, latency, reliability, safety, and cost.
*Design secure, scalable, and resilient AI services on AWS, including Lambda, EC2, S3, EKS, and RDS.
*Partner with DevOps/MLOps teams on CI/CD, infrastructure automation, observability, incident response, and production support.
*Ensure solutions meet enterprise requirements for security, governance, availability, scalability, fault tolerance, and operational readiness.

Required Qualifications

*Extensive software engineering experience with technical leadership responsibilities.
*Strong hands-on Python and backend development experience.
*Experience with FastAPI, Flask, or comparable frameworks.
*Proven experience delivering production LLM/Generative AI and RAG applications.
*Strong knowledge of LLM architecture, prompt engineering, embeddings, vector databases, retrieval, re-ranking, and evaluation.
*Experience with OpenAI, Anthropic, Hugging Face, LangChain, or similar platforms/frameworks.
*Strong AWS cloud architecture and deployment experience.
*Experience with microservices, APIs, cloud security, scalability, and distributed systems.
*Strong experience leading architecture/design reviews, code reviews, technical planning, and complex engineering initiatives.
*Ability to mentor engineers and influence technical decisions without formal management authority.

Preferred Skills

*Experience with MLOps, CI/CD, infrastructure as code, and observability.
*Experience with enterprise AI governance, security, and responsible AI practices.
*Experience optimizing AI applications for performance, reliability, and cost.
*Experience working with cross-functional application, data, cloud, security, DevOps, and platform teams.