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Remote Ai Prompt Engineer Jobs (NOW HIRING)

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques

Berkley

Semester Underwriting Intern

Glen Allen, VA · On-site +1

... Prompt Engineering * Design, test, and optimize AI prompts for business use cases (e.g ... Hybrid or remote (depending on business needs) * Fast-paced, innovation-focused team Education

Portless

AI Engineer

As an AI Engineer, you will own the design, development, and deployment of AI-powered systems that ... regressions, prompt drift, and model performance degradation * Work independently in a remote ...

Alice

Freelancer - AI CBRN Experts

New York, NY · On-site +1

Ability to work independently and manage time effectively in a remote environment Preferred ... Knowledge of AI prompt engineering concepts and practices, including adversarial prompt writing All ...

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

As of Jun 9, 2026, the average hourly pay for remote ai prompt engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a Remote AI Prompt Engineer job?

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 typical day look like for a Remote AI Prompt Engineer?

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.

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Remote Ai Prompt Engineer jobs near you
Software Engineer (Fully Remote)

Software Engineer (Fully Remote)

Axiom Cloud

San Jose, CA • On-site, Remote

Full-time

PTO

Posted 3 days ago

Job description

SOFTWARE ENGINEER
Remote (Pacific Hours)
axiomcloud.ai
510-683-5200
Axiom Cloud is transforming how the world's cooling systems are powered, operated, and maintained; generating significant climate and financial impact.
We are looking for a Software Engineer who wants to work at the intersection of IoT, cloud infrastructure, and real-world energy systems; and who thrives building software that matters.
WHAT YOU'LL DO
You will work directly with the engineering team on the following strategic initiatives:
  • Build, improve, and maintain an ecosystem of software services and APIs that manage a fleet of flexible, intelligent, and resilient assets; from the cloud to the IoT edge.
  • Collaborate with hardware, controls, modeling, and data science teams to develop innovative, AI-enabled products.
  • Engineer reliability and scale into our multi-tenant microservices stack, scaling from handfuls to thousands of customer sites.
  • Contribute to cloud-native deployment practices across our production environment.
  • Reduce technical debt by addressing existing shortcuts and setting a higher bar for new feature development.
  • Build and orchestrate AI Agents to accelerate team productivity and deliver customer value.
  • Participate in code reviews to maintain quality and foster knowledge sharing.
  • Improve internal tooling and documentation to make the development experience more accessible.
  • Develop full-stack features that connect backend services to user-facing interfaces.

WHO YOU ARE
A general guide - we can bend these rules for an exceptional candidate.
  • Bachelors in Computer Science, Engineering, or a related field.
  • 3+ years of professional software development experience.
  • Strong software design instincts; comfortable across object-oriented and functional paradigms.
  • Motivated to contribute across the full stack, from strategy and architecture to coding, testing, and production operations.
  • Quick to pick up new technologies and development methodologies.
  • A self-directed problem-solver who generates innovative solutions with minimal oversight.
  • Passionate about technology innovation, product development, and commercial/industrial SaaS.

KEY SKILLS & TECHNOLOGIES
Cloud & Networking
Strong fundamentals in GCP (or AWS): VPC design, shared VPC, HA VPN, Cloud Interconnect, Cloud NAT, BGP routing, and Private Service Connect.
Kubernetes & Compute
Production experience with GKE or EKS, including workload identity, autoscaling, and multi-cluster patterns.
Infrastructure as Code
Modular, reusable Terraform with remote state management.
CI/CD
Pipeline-driven delivery for infrastructure and application workloads via GitHub Actions or similar.
Auth & Identity
Workforce Identity Federation, OIDC/SAML with Okta, IAM design, and service-to-service authentication.
Security
Least-privilege IAM, network segmentation, encryption (CMEK/GMEK, KMS), and secrets management.
Python
Solid working proficiency for tooling, automation, and platform services.
Data & Lakehouse
Hands-on with Databricks (Delta Lake, Unity Catalog) or comparable platforms; strong schema design for large-scale timeseries and relational workloads.
Performance Optimization
Proven ability to tune queries, indexes, and pipelines against billion-row datasets.
Agentic AI & Generative AI / LLMs
Experience with Agentic AI, prompt engineering and RAG systems (e.g., LangChain, Hugging Face).
Debugging
Systematic root-cause analysis across distributed cloud systems, especially in networking and connectivity.
Frontend
Working familiarity with React or similar for internal tools and platform dashboards.
WHY JOIN US
  • Work directly on mission-critical infrastructure that drives real climate impact.
  • Fully remote position with working hours generally aligned to Pacific Time.
  • Competitive compensation and benefits package, including equity (stock options).
  • Honor system PTO policy (no specified limits) and paid parental leave.
  • Two company-wide weeks off per year (December and July).
  • Collaborative, growth-oriented culture with a strong emphasis on professional development.
  • Chance to make a measurable impact at an innovative enterprise SaaS company transforming the cold chain industry.

THE FINE PRINT
We're a startup. The work is demanding, challenging, and fulfilling. If that excites you, we want to hear from you!
Axiom Cloud is an Equal Opportunity Employer and fully subscribes to the principles of Equal Employment Opportunity, to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.

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