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Rag Engineer Jobs in Kansas (NOW HIRING)

Foresite

Senior Applied AI Engineer

Overland Park, KS · On-site +1

$115K - $152K/yr

Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent orchestration topologies, and automated evaluation/observability frameworks. * Production Optimization:

Foresite

Senior Applied AI Engineer

Overland Park, KS · Remote

$115K - $152K/yr

Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent orchestration topologies, and automated evaluation/observability frameworks. * Production Optimization:

Kiewit Corporation

Sr AI Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Design and optimize Retrieval-Augmented Generation (RAG) services and agent-based workflows.

Factualiq

Machine Learning Engineer

Mission, KS · On-site

$110 - $130/hr

Build production-grade LLM and RAG-based tools for retrieval, reasoning, and inference that AI ... Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description ... Stay current on advancements in LLMs, SMLs, RAG, and Agentic AI frameworks. Experiment with OpenAI ...

Torch.AI

AI/ML Engineer II

Leawood, KS · On-site

$120 - $160/hr

Develop and tune embedding pipelines, retrieval systems, and retrieval‑augmented generation (RAG) components. * Collaborate with data engineering and backend teams to integrate ML capabilities into ...

CrowdStrike

... RAG), and sophisticated AI agentic systems at Exabyte scale. * Drive the adoption and deployment of ... Actively mentor engineers, conducting technical workshops, leading design reviews, and ...

Human Agency

Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...

Wolters Kluwer

Forward Deployed Engineer

Wichita, KS · Remote

The Forward Deployed Engineer is a product-minded, hands-on engineer who works with strategic ... Modern software delivery with AI/GenAI, LLMs, RAG, agentic workflows, AI evaluation, prompt ...

New

Wolters Kluwer

Forward Deployed Engineer

Wichita, KS · Remote

The Forward Deployed Engineer is a product-minded, hands-on engineer who works with strategic ... Modern software delivery with AI/GenAI, LLMs, RAG, agentic workflows, AI evaluation, prompt ...

New

Wolters Kluwer

Forward Deployed Engineer

Wichita, KS · Remote

The Forward Deployed Engineer is a product-minded, hands-on engineer who works with strategic ... Modern software delivery with AI/GenAI, LLMs, RAG, agentic workflows, AI evaluation, prompt ...

New

Epiq

Software Engineer

Kansas City, KS · Remote

Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages. * Familiarity with ...

New

Epiq

Software Engineer

Overland Park, KS · Remote

Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages. * Familiarity with ...

New

Atlas HXM

$98K - $134K/yr

Experience securing AI agents, MCP integrations, RAG solutions, vector databases, or AI ... GitHub Enterprise, GitHub Actions, Azure DevOps, GitLab, Jenkins * Application Security: GitHub ...

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Kansas

Rag Engineer information

See Kansas salary details

$53.1K

$80.7K

$136.9K

How much do rag engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for rag engineer in Kansas is $80,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $93,600.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What are popular job titles related to Rag Engineer jobs in Kansas?

For Rag Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Rag Engineer jobs in Kansas look for?

The top searched job categories for Rag Engineer jobs in Kansas are:

What cities in Kansas are hiring for Rag Engineer jobs?

Cities in Kansas with the most Rag Engineer job openings:

Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,722 per year, or $38.8 per hour.

Senior Applied AI Engineer

Foresite

Overland Park, KS • On-site, Remote

$115K - $152K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 29 days ago

Job description

Foresite is looking for a Senior Applied AI Engineer to shape how state-of-the-art AI and autonomous agents power our Managed Security Services Provider (MSSP) platform. We are building the next generation of AI-driven security operations, transforming how threat detection, investigation, and response are conducted.
In this role, you will move beyond basic API integrations to build and deploy complex, multi-agent AI systems. You will leverage the latest model architectures, agent harnesses, Agent Development Kits (ADK), Agent-to-Agent (A2A) interaction patterns, and emerging frameworks. While our ecosystem is anchored on Google Cloud Platform (GCP), we value deep hands-on expertise across model ecosystems (OpenAI, Claude, Gemini, Llama, Mistral) and cloud environments.
What You'll Do
  • Build Complex Agentic Workflows: Architect, harness, and deploy production-grade autonomous agent networks using ADK, A2A communication, and state-of-the-art agentic frameworks to automate multi-step security triage and investigation workflows.
  • End-to-End AI Architecture: Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent orchestration topologies, and automated evaluation/observability frameworks.
  • Production Optimization: Manage context windows, optimize token budgets, implement prompt caching/pruning, and aggressively minimize latency across real-time RAG, function calling and other such multi-agent interaction loops.
  • Full-Stack Integration: Collaborate with engineering teams to embed agentic capabilities directly into our customer- and analyst-facing web applications built on React 18/19, TypeScript, PostgreSQL, and Firestore.
  • Secure Multi-Tenancy: Design secure AI architectures enforcing strict customer data isolation, zero-leakage context management, and enterprise-grade privacy controls.
  • Technical Leadership & Mentorship: Establish standards for building with LLMs, agent evaluation pipelines, and elevate AI engineering practices across the organization.

Who you are:
  • Engineering Principles: 5+ years of software engineering experience with strong fundamentals (you write production code, not just notebooks).
  • AI/LLM Integration: Deep, practical experience using Agent Development Kit. You should have a proven track record of integrating LLMs into production environments - prompt engineering, context management, RAG architectures, agent frameworks, evaluation and observability.
  • The Modern Stack: You are deeply proficient in React 18/19 and TypeScript. You are comfortable with React Router v7 and modern routing patterns.
  • Data & Backend: You are comfortable designing schemas, writing queries, and reasoning about performance across PostgreSQL and Firestore. You feel at home with modern ORMs and use runtime validation to enforce data integrity at system boundaries.
  • Security: Experience designing secure multi-tenant AI architectures - you understand how to build LLM integrations that enforce strict data isolation between customers.
  • System Design: Strong understanding of scalable and highly available cloud-native system design.
  • Product Focused: Experience working closely with product teams to ship user-facing features.

Senior & Core Expectations:
As a Senior Engineer on our team, you are expected to demonstrate high autonomy and depth across the following pillars:
  • Production Ownership: A proven track record of owning AI/LLM solutions from initial concept and prototyping through full rollout, monitoring, and iteration in a live production environment.
  • Model & Framework Mastery: Hands-on experience deploying modern LLMs, agent frameworks, Agent Development Kits (ADK), or Agent-to-Agent (A2A) protocols to production.
  • Cost & Latency Management: Demonstrated proficiency in balancing performance, token usage, context window constraints, and latency within complex RAG or multi-agent architectures.
  • The Modern Stack: High hands-on proficiency writing production code, designing database schemas, and reasoning about performance across React 18/19, TypeScript, PostgreSQL, and Firestore.
  • Python Mastery & Core Engineering: How would you rate your production-level Python expertise? We expect deep proficiency in writing high-performance, asynchronous, type-annotated, and modular Python (using asyncio, FastAPI, Pydantic v2, and pytest) designed for production microservices and agent orchestration-far beyond data science notebooks or script-level automation.
  • Security & Multi-Tenancy: Experience designing secure multi-tenant AI systems where strict customer data separation and compliance boundary enforcement are required.

Who you are:
  • Core Software Fundamentals: 5+ years of software engineering experience with robust fundamentals (you write clean, tested, maintainable production code, not just Jupyter notebooks).
  • Applied AI & Agentic Expertise: Practical experience with prompt harnessing, RAG architectures, multi-agent orchestration, function calling/tool use, evaluation frameworks, and LLM observability.
  • Cloud & Model Versatility: Experience in cloud-native AI environments (Vertex AI/GCP preferred, but multi-cloud background in AWS/Azure is equally welcome). Broad familiarity with leading closed-source and open-source models (Claude, Gemini, GPT-4, Llama, Mistral).
  • Data Engineering Competency: Comfortable designing schemas, writing queries, and managing ORM data integrity across relational (PostgreSQL) and document (Firestore) databases.
  • Product-Minded Engineer: Passionate about partnering with product managers and security analysts to deliver features that create true operational leverage.

Nice to have:
  • Infrastructure as Code (IaC): Proficiency with Terraform or similar tools for cloud platform provisioning and orchestration.
  • Cloud Security Ecosystem: Experience or interest in cloud security tools (Google Cloud SecOps, Security Command Center, Mandiant, SOAR systems).
  • Advanced Multi-Modal Workflows: Experience with multi-modal inputs/outputs, streaming agent architectures, or custom agent routing engines.

Why Join Foresite?
Foresite is a mission-driven partner helping organizations navigate complex cyber threat landscapes. Founded by security practitioners, we've grown into a global leader in SecOps and MDR by staying true to our core value: radical transparency.
For software engineers, Foresite is a place where you can build high-performance, multi-tenant SaaS platforms without the drag of legacy bureaucracy. We are a "humans-first" engineering organization where we build to scale, respect technical depth, and treat developer well-being as a top priority. As a Google Cloud Premier SecOps Partner, we operate on the cutting edge of cloud-native infrastructure, giving you the runway to solve highly complex, real-world distributed systems challenges.
What we offer:
  • Modern Tech Stack & Best Practices: Work with a clean, modern stack including React 19, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, and Google Cloud Platform (GCP). We believe in shipping safely and frequently using stacked PR workflows, comprehensive Vitest/Playwright test suites, and robust CI/CD pipelines.
  • Impactful Work on AI & Automation: You won't just maintain legacy code. You'll design scalable data access patterns, build modular service/repository architectures, and deploy cutting-edge AI and agentic automation to protect global enterprises from modern cyber threats.
  • Growth, Mentorship & Training: Foresite directly encourages and funds continuous learning. We provide pre-approved vendor and technical training entirely at our expense, alongside a culture of supportive peer code reviews and deep technical mentorship.
  • Comprehensive Health & Wellness: Enjoy top-tier health coverage, including robust medical, company-paid dental, short-term (STD), and long-term disability (LTD) plans.
  • Time to Recharge: We believe in high performance, not burnout. We offer a competitive Paid Time Off (PTO) package starting at 3 weeks of paid vacation (accruing up to 4 weeks based on tenure), plus paid sick leave and 10 paid company holidays (including a floating holiday) to ensure you have the flexibility to rest.
  • 401(k) Company Match: Secure your financial future with our competitive retirement match program-we match 100% of your first 3% contribution, and 50% of the next 2% contribution.

Department Software Engineering Role Senior Fullstack Developer Locations US Remote Remote status Fully Remote

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