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Ai Frontend Developer Jobs in Kansas (NOW HIRING)

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Experienced with modern DevOps best practices to ensure system reliability and maintainability ... Familiarity with front-end frameworks (Angular, React) and principles of UI/UX design, enabling ...

This is the engineering role for someone who sees the current AI moment not as hype but as ... Frontend, backend, infrastructure, LLM integration, agent frameworks - you move fluidly between ...

Lead Software Developer

Lenexa, KS

$108K - $136K/yr

The Lead Software Developer is responsible for directing and delivering software development ... frontend, and data technologies required. * Demonstrated ability to apply AI-enabled tools ...

Apply AI-enabled techniques to solve complex engineering problems, using intelligent tooling ... Frontend: React (TypeScript), GraphQL * Backend: Go, Scala * Infrastructure & Data: Kafka ...

Lead Software Developer

Lenexa, KS · On-site

$108K - $136K/yr

The Lead Software Developer is responsible for directing and delivering software development ... frontend, and data technologies required. * Demonstrated ability to apply AI-enabled tools ...

... as utilizing front-end and backend web development skills. Responsibilities : • Creates and ... DevOps and automated software delivery principles such as continuous integration/delivery (CI/CD ...

Whether your background is in backend systems, modern frontend development, or full-stack delivery ... AI Tools:Hands-on use of developer copilots or AI tools (e.g., Claude Code) in day-to-day work.

Whether your background is in backend systems, modern frontend development, or full-stack delivery ... AI Tools: Hands-on use of developer copilots or AI tools (e.g., Claude Code) in day-to-day work.

Leverage AI tools and platforms (like developer copilots) as an integral part of your daily ... Frontend:Modern JavaScript/TypeScript, React, Angular, or Vue. * Cloud & Infrastructure:GCP ...

Sr. Software Engineer

Overland Park, KS · On-site

$121K - $159K/yr

Leverage AI tools and platforms (like developer copilots) as an integral part of your daily ... Frontend: Modern JavaScript/TypeScript, React, Angular, or Vue. * Cloud & Infrastructure: GCP ...

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Ai Frontend Developer information

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What is an AI frontend developer?

An AI frontend developer is a professional who designs and implements user interfaces that incorporate artificial intelligence features, such as chatbots, recommendation systems, or data visualization tools. They typically work with programming languages like JavaScript and frameworks like React or Angular, and may integrate AI models using APIs or machine learning libraries to enhance user experience.
What are popular job titles related to Ai Frontend Developer jobs in Kansas? For Ai Frontend Developer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai Frontend Developer jobs in Kansas look for? The top searched job categories for Ai Frontend Developer jobs in Kansas are:
What cities in Kansas are hiring for Ai Frontend Developer jobs? Cities in Kansas with the most Ai Frontend Developer job openings:
Infographic showing various Ai Frontend 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.

Lead AI Engineer

Conflux Systems

Kansas City, KS • On-site

$98K - $130K/yr

Full-time

Re-posted 22 days ago


Job description

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka)
Location: Leawood, KS
Description
  • Led App Development teams and are aware of working with distributed systems
  • Are well aware of architecture (backend) and integrations
  • Taking Applications to production (so awareness of end to end working of systems)
  • Preferably know Kafka
  • Preferably worked as Data Engineering Leads
  • Are tech savvy, have tried out building Gen AI apps.

Role Overview
  • Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker - someone who leads from the front, manages delivery across the AI team, and ensures successful execution of complex, high-impact AI initiatives.
  • You will architect and deliver applied AI solutions powered by Large Language Models (LLMs) and Small Language Models (SMLs) within a distributed, production-grade ecosystem.
  • This is a hands-on technical leadership and delivery management role that combines engineering excellence, team guidance, and cross-functional collaboration. You will work closely with Technical Product Owners (TPOs), Technical Program Managers (TPMs), Platform Engineering, and Senior Managers to deliver scalable, reliable, and innovative AI applications that transform digital learning experiences.

Roles and Responsibilities
Delivery Management & Leadership: Manage delivery of AI engineering initiatives, ensuring projects are executed on time, within scope, and to high quality standards. Coordinate engineers and workstreams, resolve dependencies, and drive accountability.
Technical Leadership & Team Guidance: Lead and mentor AI engineers in architecture, design, and implementation of best practices. Set engineering standards for quality, reliability, and maintainability.
AI Solution Design & Development: Architect and develop Agentic AI applications using LLMs and SMLs for automation, reasoning, and content generation. Build distributed backend systems with Python, Fast API, Azure, Kafka, and Kubernetes.
Cross-Functional Collaboration: Partner with Technical Product Owners, Technical Program Managers, and Platform Engineering to define scope, success metrics, and optimize infrastructure and performance.
Innovation & Strategic Thinking: Stay current on advancements in LLMs, SMLs, RAG, and Agentic AI frameworks. Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with predictable delivery.
Productionization & Lifecycle Management: Lead productionization of AI application, ensuring reliability, observability, and lifecycle management of deployed solutions.
Qualifications
Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field-or equivalent practical experience. Minimum of 7 years in software or AI engineering, with at least 2 years in technical leadership or architectural roles, demonstrating a proven track record of delivering complex solutions.
Delivery Management Expertise: Demonstrated success managing end-to-end delivery for engineering teams or overseeing multi-stream technical projects, ensuring timely execution, high standards, and effective coordination across stakeholders.
Technical Proficiency: Deep expertise in designing and implementing distributed systems, microservices architectures, and event-driven solutions. Hands-on experience with production-grade AI systems leveraging Large Language Models (LLMs) and Small Language Models (SMLs).
Technology Stack Mastery: Advanced proficiency in Python, FastAPI, and Azure Cloud. Skilled in deploying and orchestrating solutions with Docker and Kubernetes. Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and tracing using tools like Datadog. Experienced with modern DevOps best practices to ensure system reliability and maintainability.
Additional Competencies: Working knowledge of OpenAI APIs and the Azure ecosystem, including Cosmos DB, AI Search, and Cognitive Services. Familiarity with front-end frameworks (Angular, React) and principles of UI/UX design, enabling seamless integration of intelligent backends with web applications. Exceptional communication, collaboration, and leadership abilities, with a passion for mentoring teams and driving impactful results.