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Senior 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 ... Senior & Core Expectations: As a Senior Engineer on our team, you are expected to demonstrate high ...

Senior Applied AI Engineer

Overland Park, KS · Remote

$115K - $152K/yr

Own model selection, prompt engineering/harnessing, context retrieval (RAG pipelines), agent ... Senior & Core Expectations: As a Senior Engineer on our team, you are expected to demonstrate high ...

We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into ... Hands-on experience with prompt engineering, agent workflows, and lightweight AI prototyping

Red Team - Sr Security Engineer

Overland Park, KS · On-site

$113K - $155K/yr

The Red Team - Sr Security Engineer is responsible for enterprise information security systems and ... Practical prompt engineering skill, including decomposing security tasks for large language models ...

The Red Team - Sr Security Engineer is responsible for enterprise information security systems and ... Practical prompt engineering skill, including decomposing security tasks for large language models ...

The Red Team - Sr Security Engineer is responsible for enterprise information security systems and ... Practical prompt engineering skill, including decomposing security tasks for large language models ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

WHAT YOU'LL DO The Senior Data and AI Scientist leads strategic data science and AI initiatives ... prompt engineering, vector embeddings), and hands-on experience defining semantic models and ...

$89K - $123K/yr

We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ... Own agents end to end: graph design, tool definitions, prompt and context engineering, durable ...

$89K - $123K/yr

We are looking for a Senior Applied AI Engineer to help build and ship Tango's first AI-powered ... Own agents end to end: graph design, tool definitions, prompt and context engineering, durable ...

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Senior Prompt Engineering information

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.

What are the key skills and qualifications needed to thrive as a senior prompt engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations seek expertise in designing effective prompts for AI models like GPT. Their skills in natural language processing, machine learning, and AI tool integration are valuable across industries, and demand is expected to grow with the expansion of AI applications.

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 Senior Prompt Engineering jobs in Kansas?

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

What cities in Kansas are hiring for Senior Prompt Engineering jobs?

Cities in Kansas with the most Senior Prompt Engineering job openings:

Senior Applied AI Engineer

Olathe, KS • On-site

$140 - $190/hr

Other

Medical, Dental, Retirement, PTO

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.

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