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Night Shift Remote Ai Prompt Engineer Jobs (NOW HIRING)

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering

New

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at ... HQ in San Francisco with remote flexibility across North America time zones. How to apply Send your ...

Familiarity with graph databases or query languages (e.g., Neo4j, Cypher) AI & Prompt Engineering * Hands-on experience with multiple LLM platforms (e.g., ChatGPT, Claude, Gemini) * Strong ...

Showing results 41-60

Night Shift Remote Ai Prompt Engineer information

See salary details

$43K

$87.7K

$125K

How much do night shift remote ai prompt engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for night shift remote ai prompt engineer in the United States is $87,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by night shift remote AI prompt engineers, and how can they be managed effectively?

Night Shift Remote AI Prompt Engineers often encounter challenges like maintaining productivity during off-peak hours, adapting to asynchronous communication with team members in different time zones, and managing work-life balance. To address these, it's helpful to establish a consistent sleep schedule, utilize collaboration tools to stay connected with colleagues, and set clear boundaries between work and personal time. Proactively communicating with teammates at shift handovers also ensures seamless project progress and reduces misunderstandings.

What are the key skills and qualifications needed to thrive as a night shift remote AI prompt engineer?

To thrive as a Night Shift Remote AI Prompt Engineer, you need strong expertise in natural language processing, prompt engineering, and relevant programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with AI platforms (like OpenAI or Anthropic APIs), version control tools, and prompt management systems is typically required. Excellent problem-solving, attention to detail, and self-motivation are crucial soft skills for working independently during off-hours. These abilities ensure high-quality AI output, effective troubleshooting, and reliable performance in a remote, asynchronous environment.

What is a night shift remote AI prompt engineer?

Night Shift Remote AI Prompt Engineers are professionals who work outside traditional daytime hours, typically from a remote location, to design, test, and optimize prompts for artificial intelligence models such as language models or chatbots. Their role involves crafting effective prompts to guide AI responses, analyzing the output for accuracy and relevance, and making adjustments to improve results. Working the night shift allows companies to provide 24/7 AI support and development, and being remote offers flexibility and access to a global talent pool. These engineers often collaborate with data scientists, product teams, and other stakeholders to ensure AI systems meet user and business needs.
More about Night Shift Remote Ai Prompt Engineer jobs
What cities are hiring for Night Shift Remote Ai Prompt Engineer jobs? Cities with the most Night Shift Remote Ai Prompt Engineer job openings:
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What job categories do people searching Night Shift Remote Ai Prompt Engineer jobs look for? The top searched job categories for Night Shift Remote Ai Prompt Engineer jobs are:
Infographic showing various Night Shift Remote Ai Prompt Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,687 per year, or $42.2 per hour.

REMOTE - AI Cybersecurity Engineer Principal

Huntington

Remote

Full-time

Posted 27 days ago


Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.