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Prompt Engineering Jobs in Kansas (NOW HIRING)

Senior Applied AI Engineer

Olathe, KS · On-site

$140 - $190/hr

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

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:

ChatGPT Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

ChatGPT Tutor

Overland Park, KS · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Solid understanding of LLMs and ML: how models work, prompt engineering, and the safety implications of fine-tuning and RAG (e.g., unsafe retrieval, tool misuse, and data exfiltration). * A security ...

Solid understanding of LLMs and ML: how models work, prompt engineering, and the safety implications of fine-tuning and RAG (e.g., unsafe retrieval, tool misuse, and data exfiltration). * A security ...

Senior Data Platform Engineer

Manhattan, KS · On-site

$104K - $137K/yr

Practical experience integrating LLMs or ML models into production systems - including at least several of: prompt engineering, RAG, embeddings/vector search, tool/function calling, evaluation, and ...

Red Team - Sr Security Engineer

Overland Park, KS · On-site

$113K - $155K/yr

Practical prompt engineering skill, including decomposing security tasks for large language models and critically validating AI-generated output before acting on it * Understanding of the security ...

AI Engineer

Lenexa, KS · On-site +1

... Prompt engineering experience Familiarity with Claude Agent SDK, Anthropic tooling, or similar agent frameworks Experience with LangFuse or other AI observability and tracing platforms Experience ...

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Showing results 1-20

Prompt Engineering information

See Kansas salary details

$29K

$56.2K

$85.2K

How much do prompt engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for prompt engineering in Kansas is $56,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $64,200.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Kansas?

The most popular types of Prompt Engineering jobs in Kansas are:

What are popular job titles related to Prompt Engineering jobs in Kansas?

For Prompt Engineering jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Kansas look for?

The top searched job categories for Prompt Engineering jobs in Kansas are:

What cities in Kansas are hiring for Prompt Engineering jobs?

Cities in Kansas with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Kansas as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,166 per year, or $27 per hour.

Senior Applied AI Engineer

Foresite MSP

Olathe, KS • On-site

$140 - $190/hr

Other

Medical, Dental, Retirement, PTO

Posted 10 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.

  • 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 2 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.

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