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Remote Ai Prompt Engineer Jobs in Kansas (NOW HIRING)

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Demonstrable hands-on experience in LLM engineering (fine-tuning, prompt engineering, deployment ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... Hands-on experience building AI/ML-powered product features, including working with LLMs, prompt ...

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... You're not satisfied with prompt wrappers or surface-level integrations. You're here to explore ...

$97K/yr

... prompt injection resilience, human-in-the-loop requirements). Define evaluation and monitoring ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$97K/yr

... prompt injection resilience, human-in-the-loop requirements). Define evaluation and monitoring ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

Stay ahead of trends in AI-assisted engineering, agentic systems, application security, Next.js ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

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Remote Ai Prompt Engineer information

See Kansas salary details

$22

$47

$68

How much do remote ai prompt engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote ai prompt engineer in Kansas is $47.83, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $55.53 per hour, depending on experience, location, and employer.

What is a remote AI prompt engineer?

A Remote AI Prompt Engineer designs, refines, and optimizes prompts to improve AI-generated responses in various applications, such as chatbots, content generation, and automation tools. They work remotely to test AI models, analyze outputs, and develop strategies to enhance AI performance. This role requires strong language skills, creativity, and an understanding of AI model behavior. Their work helps ensure AI systems generate accurate, relevant, and high-quality responses.

What are the key skills and qualifications needed to thrive in the remote AI prompt engineer position, and why are they important?

To thrive as a Remote AI Prompt Engineer, you should have a strong grasp of natural language processing, prompt engineering techniques, and a background in computer science or related fields. Familiarity with AI platforms (such as OpenAI's GPT or similar LLMs), version control systems, and experience with relevant programming languages like Python are highly valuable, and certifications in AI or machine learning are a plus. Exceptional analytical thinking, clear written communication, creativity, and the ability to work independently are key soft skills for this role. These capabilities enable prompt engineers to develop effective prompts, collaborate remotely, and drive high-quality AI-driven outcomes.

What does a remote AI prompt engineer do?

A typical day for a Remote AI Prompt Engineer involves designing, testing, and refining prompts for various AI models to improve their outputs based on project goals. You may collaborate with product managers, data scientists, and software engineers through digital communication tools to align prompt strategies with business needs. Reviewing model responses, analyzing results, and documenting prompt performance are regular tasks. Additionally, you may participate in virtual team meetings and training sessions to stay updated on new AI developments. This role offers a diverse mix of technical problem-solving and creative experimentation within a flexible remote work environment.

What are the most commonly searched types of Ai Prompt Engineer jobs in Kansas? The most popular types of Ai Prompt Engineer jobs in Kansas are:
What are popular job titles related to Remote Ai Prompt Engineer jobs in Kansas? For Remote Ai Prompt Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Ai Prompt Engineer jobs in Kansas look for? The top searched job categories for Remote Ai Prompt Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Ai Prompt Engineer jobs? Cities in Kansas with the most Remote Ai Prompt Engineer job openings:
Infographic showing various Remote Ai Prompt Engineer job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,488 per year, or $47.8 per hour.

Senior Applied AI Engineer

Foresite

Overland Park, KS โ€ข Remote

$115K - $152K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 6 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.