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Ai Data Developer Jobs in Kansas (NOW HIRING)

... data for both traditional and agentic AI training * Partner with product and DevOps teams to integrate ML and agentic services into Propio's infrastructure * Optimize models for latency, cost, and ...

... data for both traditional and agentic AI training * Partner with product and DevOps teams to integrate ML and agentic services into Propio's infrastructure * Optimize models for latency, cost, and ...

... AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.) * Broad experience ...

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks. * Collaborate closely with senior data engineers, ML engineers, and architects.

The AI & Data for Engineered Biologics (AIDE) organization at Amgen is seeking a Senior Director to lead our BioIntelligence team. The Senior Director will lead the development and deployment of AI ...

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Pittsburg, KS · On-site

$87K - $105K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Wichita, KS · On-site

$102K - $123K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Topeka, KS · On-site

$108K - $130K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Overland Park, KS · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What are popular job titles related to Ai Data Developer jobs in Kansas? For Ai Data Developer jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Ai Data Developer jobs? Cities in Kansas with the most Ai Data Developer job openings:
Infographic showing various Ai Data Developer job openings in Kansas as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI/ML Engineer II

AI/ML Engineer II

Propio Language Services

Overland Park, KS • On-site

Full-time

Posted yesterday


Job description

Job Type
Full-time
Description
Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We're committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.
The AI/ML Engineer II will build, optimize, and deploy AI/ML models at scale to power Propio's language intelligence platform, with a focus on agentic AI workflows and conversational analytics. This role bridges research and production, ensuring models are robust, efficient, and seamlessly integrated into live systems that support both traditional ML tasks and complex agentic reasoning.
Key Responsibilities:
  • Develop and deploy production-grade ML models for translation, speech, interpretation, and agentic AI workflows
  • Build and optimize inference pipelines for agentic systems that handle multi-step reasoning, tool integration, and domain-specific problem-solving (e.g., software engineering support, conversational analytics)
  • Design scalable training and inference pipelines capable of supporting both traditional supervised learning tasks and LLM-based agentic systems
  • Implement model monitoring, evaluation, and continuous improvement workflows across diverse model types
  • Collaborate with data engineering to ensure clean, structured, and compliant data for both traditional and agentic AI training
  • Partner with product and DevOps teams to integrate ML and agentic services into Propio's infrastructure
  • Optimize models for latency, cost, and accuracy in real-time applications, including streaming speech and low-latency interpretation
  • Work with Applied AI Engineering to transition agentic prototypes into production systems

Requirements
Qualifications:
  • Bachelor's or Master's in Computer Science, AI, or related field
  • 3+ years of experience in ML Engineer, DevOps, or ML Engineering
  • Proficiency in Python, ML frameworks, and MLOps tools (MLflow, Kubeflow, SageMaker)
  • Strong experience in software engineering skills (CI/CD, version control, testing, debugging production systems)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience with LLM APIs, prompt engineering, and agentic systems is a plus

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