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Back End Python Developer Jobs in Wisconsin (NOW HIRING)

$52.75 - $72.75/hr

We are looking for an experienced Python developer with a strong analytical mindset who can design ... Development and implementation of scalable Python applications, backend services and AI-based ...

Python AI Developer

Green Bay, WI · On-site

$49 - $67.25/hr

Overview We are looking for an engineer to help scale our backend infrastructure and deepen our ... Production-grade, asynchronous Python (FastAPI/Pydantic) with a focus on performance and ...

Design, develop, and maintain reusable Python modules and libraries to support infrastructure ... Develop and enhance self-service automation portal that interfaces with backend infrastructure ...

Software Engineer, Backend

Appleton, WI · On-site

$155K - $222K/yr

Programming experience in Rust, Scala, Python. * Experience with observability tooling such asOpenTelemetry, Prometheus, Grafana. * Experience with feature flagging tools such as Launch Darkly.

Design, develop, and maintain reusable Python modules and libraries to support infrastructure ... Develop and enhance self-service automation portal that interfaces with backend infrastructure ...

Senior Software Engineer, Backend

Appleton, WI · On-site +1

$165K - $241K/yr

This popularity comes with large scalability challenges: our backend handles more than 10billionof ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

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Showing results 1-20

Back End Python Developer information

See Wisconsin salary details

$16.1K

$149.6K

$192.8K

How much do back end python developer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for back end python developer in Wisconsin is $149,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,900.00 and $169,100.00 per year, depending on experience, location, and employer.

What is a back end Python developer?

A Back End Python Developer is responsible for building and maintaining the server-side logic of web applications using Python. They develop APIs, manage databases, optimize application performance, and ensure seamless data exchange between the front end and back end. Common frameworks used include Django and Flask. Their role is crucial in ensuring that applications run efficiently, securely, and can scale as needed.

What are the typical daily responsibilities of a back end Python developer?

As a Back End Python Developer, your daily tasks often include designing, developing, and maintaining server-side logic, building and integrating APIs, and managing databases to ensure efficient data storage and retrieval. You'll collaborate closely with front-end developers and other team members to deliver seamless user experiences, troubleshoot bugs, and optimize system performance. Participation in code reviews, writing unit tests, and updating technical documentation are also common responsibilities. This collaborative and varied workflow ensures the server-side infrastructure is robust and scalable to meet the demands of modern web and application development.

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

To thrive as a Back End Python Developer, you need strong proficiency in Python, knowledge of back-end frameworks like Django or Flask, experience with RESTful APIs, and a solid understanding of databases such as PostgreSQL or MongoDB, often supported by a degree in computer science or related technical field. Familiarity with tools like Git, containerization (Docker), CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP), along with relevant certifications, are often valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help developers work efficiently in collaborative and fast-paced environments. These skills ensure reliable, scalable, and maintainable server-side applications that support business goals and user experience.

What are popular job titles related to Back End Python Developer jobs in Wisconsin? For Back End Python Developer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Back End Python Developer jobs in Wisconsin look for? The top searched job categories for Back End Python Developer jobs in Wisconsin are:
Infographic showing various Back End Python Developer job openings in Wisconsin as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $149,620 per year, or $71.9 per hour.

Python Developer - Generative AI / RAG (m/f/d)

Qualysoft

Hybrid

$52.75 - $72.75/hr

Contractor

Posted 15 days ago


Job description

For a challenging AI and data transformation project with a client in the telecommunications sector, we are looking for an experienced Python Developer - Generative AI / RAG (m/f/d) in Vienna.
The focus of the role is on the development of modern, data-driven AI applications and production-ready Retrieval-Augmented Generation solutions. We are looking for an experienced Python developer with a strong analytical mindset who can design, implement and optimize scalable backend services, data-processing workflows and end-to-end RAG pipelines.
You will take on a central role in the technical implementation of modern AI use cases and support the client in integrating Large Language Models and RAG based applications into existing data, cloud and system landscapes. You will work closely with AI architects, data scientists, software developers, business departments and technical stakeholders.
You can expect an innovative project environment with high technological relevance, international stakeholders and modern AI, data and cloud technologies.
 
440 - 480 a day
Conditions
Location: Vienna
Start: ASAP
Duration: 12 months+ option for extension
Capacity: 100 %
Working model: Hybrid, 2 days per week on site in Vienna
Project language: English
 
Your Tasks
  • Development and implementation of scalable Python applications, backend services and AI-based solutions
  • Design, development and optimization of complete Retrieval-Augmented Generation pipelines
  • Implementation of document ingestion and data-processing workflows
  • Development of suitable document parsing, preprocessing, chunking and metadata strategies
  • Generation, management and optimization of embeddings
  • Implementation of semantic search, vector search and hybrid search solutions
  • Integration and management of vector databases and retrieval systems
  • Development and optimization of retrieval and reranking mechanisms
  • Implementation of prompt construction, prompt templates and context-management strategies
  • Integration of Large Language Models for reliable and context-based answer generation
  • Implementation of citation handling, source attribution and traceability mechanisms
  • Development and integration of APIs and backend interfaces
  • Integration of AI applications into existing IT, data, database and cloud landscapes
  • Design and implementation of data-driven evaluation processes for RAG and AI solutions
  • Analysis and improvement of retrieval quality, answer quality, relevance and system performance
  • Development of automated unit, integration and end-to-end tests
  • Implementation of logging, monitoring, error handling and observability mechanisms
  • Creation of technical documentation and development standards
  • Application of professional software-development practices, including version control, code reviews and CI/CD
  • Collaboration with AI architects, data scientists, developers, business departments and other technical stakeholders
  • Support of AI use cases from technical conception through implementation to productive operation
Your Profile
  • At least 5+ years of professional experience in software development with Python
  • Very good knowledge of Python and modern Python software-development practices
  • Proven experience in the development of APIs, backend services and data-processing applications
  • Practical experience in the development and implementation of Retrieval-Augmented Generation solutions
  • Very good understanding of RAG architectures, Large Language Models and Generative AI applications
  • Experience with document ingestion, document parsing, preprocessing, chunking and metadata management
  • Experience with embeddings, semantic search, vector search, retrieval and reranking
  • Experience with vector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma or PostgreSQL with pgvector
  • Experience with RAG and LLM frameworks such as LangChain, LlamaIndex or comparable technologies
  • Experience with relational and/or NoSQL databases
  • Sound understanding of APIs, integration patterns and backend architectures
  • Experience with Git and professional version-control workflows
  • Experience with unit testing, integration testing and automated software testing
  • Experience with logging, monitoring, debugging and production software operations
  • Knowledge of clean code principles, software architecture and maintainable application design
  • Strong data-driven and analytical mindset
  • Ability to evaluate technical solutions based on measurable quality, performance and business requirements
  • Completed degree in computer science, business informatics, data science, Artificial Intelligence or a comparable qualification
  • Very good written and spoken English skills
  • Structured, independent and solution-oriented way of working
  • Strong communication and collaboration skills
Nice to Have
  • Experience in the telecommunications environment
  • Experience with cloud technologies such as AWS, Microsoft Azure or Google Cloud
  • Experience with Docker, Kubernetes and CI/CD pipelines
  • Experience with Python frameworks such as FastAPI, Flask or Django
  • Knowledge of MLOps, LLMOps or AI platform architectures
  • Experience with the evaluation of RAG systems, including retrieval quality, answer relevance, groundedness, hallucination detection and citation accuracy
  • Experience with hybrid search, knowledge graphs or graph-based RAG architectures
  • Experience with agent-based AI systems and tool-using Large Language Models
  • Experience with open-source and commercial Large Language Models
  • Experience with LLM observability, tracing and evaluation platforms
  • Knowledge of AI governance, Responsible AI, data protection, security and compliance requirements
  • Experience in international and interdisciplinary project environments
  • Relevant AI, cloud or software-development certifications
 
What You Can Expect
  • Participation in an innovative AI and data transformation project in the telecommunications environment
  • Exciting technological environment with a focus on Python, Generative AI and Retrieval-Augmented Generation
  • Opportunity to develop and operate modern, production-ready AI applications
  • High level of personal responsibility and opportunities to shape technical solutions
  • Collaboration with international stakeholders and technical expert teams
  • Hybrid working model with 2 days per week on site in Vienna
  • Opportunity to actively shape scalable RAG and AI architectures
  • Use of modern Python, LLM, vector database and cloud technologies
  • Long-term relevant project environment with high strategic importance
Interested?
Please send us your current CV, including your availability and hourly rate expectations. We look forward to hearing from you.
You are welcome to contact me by email or via LinkedIn.
Elena Kahraman
Thank you for your understanding.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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