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Ai Backend Developer Jobs in Wisconsin (NOW HIRING)

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 ... allow our AI to serve as a true co-pilot for logistics professionals. Technical Requirements ...

New

As a Staff Engineer on the AI team , you'll design, build, and extend Sema4.ai 's cognitive ... Deep experience with backend systems in Python, including performance, observability, and ...

Software Engineer, Backend

Appleton, WI · On-site

$152K - $219K/yr

... and developer experience. * Work with various groups within Cisco to understand their and our ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Designs and maintains secure APIs and backend services integrating with: * Azure SQL Database

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Designs and maintains secure APIs and backend services integrating with: * Azure SQL Database

... owners, designers, and backend developers to ensure seamless integration between design and ... Thank you in advance. 30 - 50 an hour We may use artificial intelligence (AI) tools to support ...

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the ... front-end/back-end components where needed. * Drive adoption of modern tooling (e.g ...

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the ... front-end/back-end components where needed. * Drive adoption of modern tooling (e.g ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

New

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

New

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Ai Backend Developer information

How does the role of an AI Backend Developer typically interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

What are the key skills and qualifications needed to thrive as an AI Backend Developer, and why are they important?

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

What are AI Backend Developers?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.
What are popular job titles related to Ai Backend Developer jobs in Wisconsin? For Ai Backend Developer jobs in Wisconsin, the most frequently searched job titles are:
Infographic showing various Ai Backend Developer job openings in Wisconsin as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Python AI Developer

Python AI Developer

Rivi Consulting Group

Green Bay, WI • On-site

$49 - $67.25/hr

Other

Posted 2 days ago


Job description

Overview

We are looking for an engineer to help scale our backend infrastructure and deepen our agentic capabilities. This individual will not just be wrapping APIs; they will be building the memory layers, RAG pipelines, and ontological structures that allow our AI to serve as a true co-pilot for logistics professionals.

Technical Requirements

- Expert Python Engineering: Production-grade, asynchronous Python (FastAPI/Pydantic) with a focus on performance and scalability.

- Agentic Frameworks & Reasoning: Hands-on experience with LangGraph, DSPy, or LangChain. Must understand state management, agent loops, and reliable tool-calling. Experience with evaluations is a significant bonus.

- Knowledge Graphs & Ontologies: Experience building or working with ontologies.

- Advanced Memory Management: Implementation of "long-term memory" using vector databases and schemas to maintain context over long horizons.

- RAG & LLMs: Experience with RAG optimization (reranking, query transformation) and/or fine-tuning LLMs for domain-specific reasoning.

- Experience with Google Cloud Platform is preferred

- Understands Secure SDLC practices

Core Competencies

- Quick learner with high agency.

- A "product engineer" mindset.

- Comfort with ambiguity and a sense of extreme ownership.

- Experience working in a fast paced environment.