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Prompt Engineering Security Jobs (NOW HIRING)

Toyota

Security ML / AI Engineer, Lead

Plano, TX

Design and implement prompt engineering patterns for managed AI service integration * Build training data pipelines from the security data lake - curating, labeling, and versioning datasets from real ...

LPL Financial

Engineer, AI Security

Austin, TX

Familiarity with AI-assisted engineering tools (e.g., Claude, Cursor) * Knowledge of prompt security, model governance, and agentic workflows * Experience in financial services or other regulated ...

LPL Financial

Engineer, AI Security

San Diego, CA · On-site

Familiarity with AI-assisted engineering tools (e.g., Claude, Cursor) * Knowledge of prompt security, model governance, and agentic workflows * Experience in financial services or other regulated ...

LPL Financial

Engineer, AI Security

Fort Mill, SC · On-site

Familiarity with AI-assisted engineering tools (e.g., Claude, Cursor) * Knowledge of prompt security, model governance, and agentic workflows * Experience in financial services or other regulated ...

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Prompt Engineering Security information

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$61.5K

$152.8K

$205.5K

How much do prompt engineering security jobs pay per year?

As of Jun 7, 2026, the average yearly pay for prompt engineering security in the United States is $152,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $158,500.00 per year, depending on experience, location, and employer.

What is prompt engineering security?

Prompt engineering security involves designing and managing prompts for AI systems, such as large language models, in a way that prevents misuse, data leakage, and adversarial attacks. It focuses on identifying vulnerabilities in how AI models interpret and respond to prompts to ensure that sensitive information is not exposed and that malicious users cannot manipulate the AI into harmful behaviors. This field combines knowledge of AI, cybersecurity, and ethics to create safe, robust interactions between users and AI systems.

What are the key skills and qualifications needed to thrive as a Prompt Engineering Security specialist, and why are they important?

To thrive as a Prompt Engineering Security specialist, you need expertise in cybersecurity principles, prompt engineering, and natural language processing, often supported by a degree in computer science or related field. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), large language models, and security tools such as penetration testing suites is typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals identify vulnerabilities and articulate risks. These abilities are crucial for protecting AI systems against prompt-based attacks and ensuring the safe deployment of language models.

What is the difference between Prompt Engineering Security vs Prompt Engineering?

AspectPrompt Engineering SecurityPrompt Engineering
Required CredentialsTypically requires knowledge of cybersecurity, AI security protocols, and prompt designFocuses on prompt design, natural language processing, and AI model interaction skills
Work EnvironmentSecurity-focused teams, AI development labs, tech companiesAI research teams, content creation, tech startups
Employer & Industry UsageUsed in cybersecurity firms, AI safety departments, tech companies emphasizing secure AIUsed across AI development, chatbot creation, and NLP-focused organizations

Prompt Engineering Security and Prompt Engineering share core skills in prompt design and AI interaction, but the security variant emphasizes safeguarding AI systems against vulnerabilities, requiring cybersecurity expertise. The standard Prompt Engineering role centers on optimizing prompts for better AI responses without a security focus.

How does a Prompt Engineering Security professional typically collaborate with cross-functional teams to ensure AI system safety?

Prompt Engineering Security professionals regularly work alongside data scientists, machine learning engineers, and cybersecurity experts to assess and mitigate risks associated with AI-generated content. They participate in design reviews, provide guidance on secure prompt design, and help develop protocols for monitoring and responding to security incidents. This collaborative environment ensures that prompt engineering not only meets performance goals but also aligns with organizational security standards, promoting a responsible and resilient AI deployment.
Infographic showing various Prompt Engineering Security job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $152,773 per year, or $73.4 per hour.
Senior Software Engineer, Agentic AI

Senior Software Engineer, Agentic AI

Invicti Security

Austin, TX • Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Who You Are:

You’re a seasoned software engineer ready for your next challenge. In this role, you’ll join Invicti’s newly formed AI team as a Senior Software Engineer, Agentic AI, and play a pivotal role in building our next-generation Agentic AppSec solution. As AI reshapes how software is built and how attackers exploit it, you’ll help give defenders an edge by applying attacker-inspired techniques to solve modern security challenges.

You design, build, and deliver software solutions rapidly, working across the stack from agent architectures and memory systems to integrations with security tools and developer workflows. You collaborate closely with product and security teams to deliver capabilities that solve real customer problems. You thrive in a high-ownership role on a small team, where your technical decisions directly shape the product, with an initial focus on agentic pentesting.

What You’ll Be Doing:
  • Multi-Agent System Development: Design and implement autonomous agent systems in Python using frameworks like AWS Strands Agents, with emphasis on orchestration, reasoning, and decision-making
  • MCP Integrations: Create Model Context Protocol integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot
  • LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation
  • RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that give agents a persistent, contextual understanding of customer environments
  • End-to-End Ownership: Own features from design through production — build, test, deploy, and measure outcomes
  • Cross-Team Collaboration: Work closely with product, platform engineering, security research, and infrastructure teams to ensure we're building what customers need
  • Experimentation & Productization: Evaluate new AI/ML capabilities and determine how to bring them to production

Requirements

What You’ll Need:
  • 5+ years of production software development experience with a track record of shipping high quality solutions
  • Hands-on experience building LLM-powered applications, RAG systems, or agentic AI
  • Strong Python proficiency with solid software engineering fundamentals
  • Understanding of distributed systems, API design, and cloud-native architectures
  • Experience with prompt engineering, embeddings, and vector databases
  • End-to-end software development skills, including frontend development, building pipelines, tests, monitoring, and scalability
  • Ability to balance engineering rigor with pragmatic delivery, embracing agentic coding tools like Claude Code to accelerate delivery
  • Clear communication skills — you surface problems early and propose solutions
What's Preferred:
  • Experience with agent frameworks (AWS Strands, LangGraph, AutoGen, CrewAI) in production environments
  • Familiarity with MCP (Model Context Protocol) and AI tool integration patterns
  • Background in application security, penetration testing, or security tooling
  • Experience with Go or C# for performance-critical components
  • Ability to build single-page applications using Vue.js
  • AWS experience with Bedrock and Kubernetes deployments
  • Familiarity with using GitLab for source control and CICD
  • Knowledge of evaluation methodologies for LLM systems (benchmarks, red-teaming, human feedback)
  • Experience building third-party product integrations using REST APIs
  • Contributions to open-source AI/ML projects
What You’ve Got:
  • Strong problem-solving mindset with intellectual curiosity about AI/ML
  • High degree of ownership, accountability, and initiative
  • Comfortable working in fast-paced environments where prototypes are rapidly iterated or discarded
  • Excited about autonomous AI systems and seeing your work used by real customers
  • Adaptable and effective working across distributed teams
  • Detail-oriented, with a focus on delivering systems that scale and last

Benefits

Why Invicti:Your Health & Wellness Matters:
  • Health Insurance: We cover 100% of employee health care, vision, and dental premium costs. For dependents, we contribute 75% of healthcare and 50% vision/dental premium cost. Coverage is effective on your first day.
  • Employee Assistance Program: Emotional support counseling services — 24/7 life coaching, dependent care, elder care, financial & legal support, wellness coaching, new parent support, and more
  • Parental Leave: 16-week paid leave for birthing parent recovery; 4-week paid leave for non-birthing/bonding parent
  • 401(k) Savings Plan: 50% up to 6% company match with 100% annual cliff vesting
We Value Work/Life Balance:
  • Hybrid Flexible Schedule
  • Discretionary Time Off: Take time away from work when you need it (subject to manager approval)
  • Quarterly Thrive-Wellness Days: One extra day per quarter where the entire company takes a break to refresh and rejuvenate
  • Volunteering: 5 days of paid time off each year to participate in volunteer activities of your choice
We Value You:
  • Learning & Development Budget: Investment in your professional growth
  • Employee Recognition: Ongoing recognition & rewards in a culture that emphasizes personal and professional growth

At Invicti, we embrace diversity and individuality in all forms. Discrimination has no place here - regardless of race, religion, gender, age, ability, sexual orientation, or any other aspect that makes you unique. We're all about creating a space where everyone feels valued and included. So come as you are and join us in shaping the future of our industry.