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Ai Agent Developer Jobs in Kansas (NOW HIRING)

Finite State

AI Tools: Cursor, Devin, GitHub Copilot, and modern agent frameworks where appropriate AI-Native Mindset * Hands-on experience with AI-powered developer tools and workflows (e.g., Cursor, Claude ...

Human Agency

Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar ... Build security into AI agent systems as a first-class product feature. You'll design guardrails ...

Kiewit Corporation

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

This position is ideal for a developer with strong API and integration experience who is interested in modern AI technologies, agent-based architectures, and AI-assisted software development ...

Kiewit

Sr Integrations Engineer

Lenexa, KS · On-site

$97K - $131K/yr

This position is ideal for a developer with strong API and integration experience who is interested in modern AI technologies, agent-based architectures, and AI-assisted software development ...

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How much do ai agent developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai agent developer in Kansas is $42,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $45,500.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
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Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Kansas as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $42,747 per year, or $20.6 per hour.

Senior Data Engineer - Agentic AI

Vytalize Health

Kansas City, KS • On-site

$102K - $138K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Engineer - Agentic AI

Description of the Role

As a Senior Data & Software Engineer focused on agentic AI, you will help design, build, and maintain the intelligent data pipelines and automation systems that enable Vytalize Health to scale its data source coverage without linearly scaling the team. Working cross-functionally, your solutions will drive better patient outcomes by accelerating the normalization and governance of clinical and claims data. You will be part of a small, high-performing healthcare data engineering team where engineers support each other\'s growth through mentorship and tight collaboration.

Primary Responsibilities

  • Lead development of the agentic connector pipeline — automating source profiling, field mapping, dbt model generation, and validation

  • Design and build AI-assisted data ingestion workflows using LLM APIs and agentic orchestration frameworks

  • Own the first 2–3 end-to-end agent-built connectors as proof of concept for the broader team

  • Establish internal AI tooling standards and patterns; mentor team on agentic development practices

  • Design, build, and maintain data pipelines and systems to meet business needs

  • Implement data quality control processes and contribute to observability frameworks

  • Document new and existing systems, designs, processes, and procedures

  • Work on-call 3–9% of the year, one week at a time, to support production failures and emergent business needs

  • Mentor and learn from colleagues through pair/mob programming, design reviews, and Lunch & Learns

Required Qualifications

  • 5+ years of experience in data engineering or a related field

  • 1–2+ years of hands-on experience building with LLM APIs and agentic frameworks

  • Strong Python and SQL proficiency

  • Experience with Databricks and AWS

  • Strong understanding of data lake architecture, data modeling, and medallion patterns (Bronze/Silver/Gold)

  • Experience building and consuming APIs

  • Experience with data quality control and pipeline observability

  • Strong debugging, problem-solving, and analytical skills

  • Excellent written and verbal communication skills

  • Comfortable working in a fast-moving, ambiguous environment

Strong Pluses

  • Experience with dbt and modern data transformation patterns

  • Familiarity with healthcare data formats: CCDAs, 837s, FHIR APIs, CDS Hooks, HL7

  • Experience with Tuva or similar clinical data normalization frameworks

  • Knowledge of Value-Based Care and Accountable Care Organizations

  • Experience with EHR integrations (Epic, NextGen, Athena, ECW)

  • Familiarity with orchestration tools (Databricks Workflows, Airflow, or equivalent)

  • Experience in a startup or high-growth environment

Apply