1

Python Ai Developer Jobs in Kansas (NOW HIRING)

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Strong hands-on experience with Python, SQL, and dataset curation pipelines. * Experience with ...

AI Engineer

Leawood, KS

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Strong hands-on experience with Python, SQL, and dataset curation pipelines. * Experience with ...

... Engineering to prove technical value, working hands-on with voice AI, integrations, and real ... Build production integrations in Python with working knowledge of TypeScript or Go, connecting ...

You are An AI Native Engineer with a strong foundation in building cloud-native solutions and hands ... Minimum of 3 years strong Python, Java or equivalent experience building 12 factor applications ...

... Applied & Agentic AI Engineer Job Responsibilities · Lead the architecture and delivery of ... Python and enterprise API integration patterns. · Experience building secure, scalable ...

$150/day

... developers build and ship software with AI. The team will develop agentic tooling across the ... Comfortable with Node.js, TypeScript, Python, or similar. * Knowledge about LLM agent frameworks ...

... Agentic AI Engineer Job Responsibilities * Architect and deploy LLM-powered and agentic AI ... Strong proficiency in Python and API-driven system design. * Experience integrating enterprise ...

... Agentic AI Engineer Job Responsibilities * Architect and deploy LLM-powered and agentic AI ... Strong proficiency in Python and API-driven system design. * Experience integrating enterprise ...

Agentic DevOps Lead

Overland Park, KS · On-site

$70K - $205K/yr

Minimum of 3 years of python experience. * Minimum of 1 year of proven experience with LLMs , agentic frameworks (E.g. LangGraph, Crew AI, Autogen), prompt engineering * Minimum of 6 years of Hands ...

Senior AI/ML Engineer

Topeka, KS · On-site +1

$98K - $135K/yr

We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang , and ... We partner closely across AI/ML engineers , Product Operations , Product Management , Data Science ...

next page

Showing results 1-20

Python Ai Developer information

See Kansas salary details

$11

$52

$76

How much do python ai developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python ai developer in Kansas is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $59.38 per hour, depending on experience, location, and employer.

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.

Which 3 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, developing, and overseeing AI systems, often requiring advanced technical skills, domain expertise, and adaptability to evolving technologies.

Will AI replace Python coders?

AI development roles, including Python AI developers, focus on creating and maintaining AI models and tools. While AI can automate certain coding tasks, human expertise is still essential for designing, debugging, and improving AI systems, making complete replacement unlikely in the near term.

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

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.

Which 5 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research scientist, data scientist, machine learning engineer, cybersecurity analyst, and software architect. These positions often involve designing, overseeing, and interpreting AI systems, which are less susceptible to automation. Continuous learning and expertise in AI tools and programming languages are essential for long-term job security in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and programming with tools like Python, along with significant experience and sometimes advanced degrees. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in business applications.

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 popular job titles related to Python Ai Developer jobs in Kansas? For Python Ai Developer jobs in Kansas, the most frequently searched job titles are:
Infographic showing various Python Ai Developer job openings in Kansas as of June 2026, with employment types broken down into 33% Full Time, 62% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,745 per year, or $52.3 per hour.
AI Engineer

$111K - $133K/yr

Full-time

Posted 22 days ago


Job description

Job Type
Full-time
Description
Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you're passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.
We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.
Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.
This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.
The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.
Requirements
  • Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
  • Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
  • Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
  • Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
  • Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
  • Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.

Qualifications
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.
  • 4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.
  • Strong hands-on experience with Python, SQL, and dataset curation pipelines.
  • Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.
  • Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.
  • Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.
  • Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.

Preferred Qualifications
  • Master's or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.
  • Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.
  • Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.
  • Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.