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Python Ai Developer Jobs in Eagan, MN (NOW HIRING)

... Python and popular ML/DL libraries. o Proven expertise in deploying machine learning models and AI applications in a cloud environment (Azure preferred). o Strong SQL required and data engineer ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

... Python (NumPy, Pandas, Matplotlib, PyTorch/TensorFlow), data structures, algorithms, object ... programming, and Generative AI knowledge lookup tools is a plus. We are a leading provider of ...

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Strong development across frontend (React/modern frameworks), backend (Python, Node.js, .NET), and ... Experience with deployment and DevOps practices * Exposure to agentic AI systems Why You'll Love It ...

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

Proficiency in Python and at least one of TypeScript/Node.js or C#/.NET. * Solid grounding in RAG ... Microsoft AI Engineer Associate, Google Professional ML Engineer, AWS ML Specialty. * Bachelor's or ...

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Python Ai Developer information

See Eagan, MN salary details

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$88

How much do python ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ai developer in Eagan, MN is $59.78, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $67.88 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What job categories do people searching Python Ai Developer jobs in Eagan, MN look for?

The top searched job categories for Python Ai Developer jobs in Eagan, MN are:

What cities near Eagan, MN are hiring for Python Ai Developer jobs?

Cities near Eagan, MN with the most Python Ai Developer job openings:

Infographic showing various Python Ai Developer job openings in Eagan, MN as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $124,340 per year, or $59.8 per hour.

AI Lead

Programmers.io

Minneapolis, MN • On-site

Contractor

Re-posted 5 days ago


Job description

JD -

Key Requirements:

· Experience

o 7-8years of experience in the ideation, design and end-to-end implementation of AI solutions.

o Proven track record of leading teams of AI engineers and reporting to senior leadership.

o At least 5 years of hands-on experience working with Azure AI, Azure OpenAI, Azure AI Foundry, Azure Cognitive Services, and Azure Machine Learning.

o Strong hands-on coding skills in Python and popular ML/DL libraries.

o Proven expertise in deploying machine learning models and AI applications in a cloud environment (Azure preferred).

o Strong SQL required and data engineer skills would be a plus.

· Technical Skills:

o Solution Design skills: Design robust AI solution architectures including expertise in designing robust Agentic GenAI systems, robust ML & RAG pipelines, Context Engineering pipelines, agentic orchestration, model context protocols(MCP), Agentic Communication Protocol (A2A) and semi-automated agent decision engines while ensuring that systems are scalable, secure, and efficient including selecting appropriate technologies, frameworks, and methodologies.

o Ensure seamless integration of AI systems and GenAI Agents with other upstream and downstream enterprise applications, databases and processes.

o Strong expertise in data pre-processing, various prompt engineering techniques, retrieval techniques, vector databases, indexing strategies (like chunking, hierarchical indexing), and hybrid search approaches, response quality evaluation evaluation metrics.

o Strong proficiency in Natural Language Processing (NLP) and deep learning techniques for building AI models.

o Experience with large language models (LLMs) such as GPT, BERT, and OpenAI's fine-tuned models.

o Knowledge of retrieval-based techniques, including semantic search, vector databases, and information retrieval systems.

o Familiarity with APIs and cloud-based data storage solutions (e.g., Azure Blob Storage, Cosmos DB, etc.).

o Experience with DevOps practices for machine learning, including CI/CD for AI systems, containerization (Docker), and orchestration (Kubernetes).

· Soft Skills:

o Strong communication and collaboration skills, with the ability to explain complex AI concepts to non-technical stakeholders.

o Leadership abilities to mentor teams and manage onsite-offshore communications.

o Ability to work independently and in team settings, balancing multiple priorities.