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Ai Ml Prompt Engineer Jobs (NOW HIRING)

Neshent Technologies

$54.50 - $72.50/hr

Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases. *Develop runbook automation, anomaly detection, and intelligent incident management capabilities. *Collaborate with ...

Socket.dev

AI & Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Python, AI/ML & Prompt Engineering * Develop and maintain Python-based automation scripts and tools to streamline website setup, content migration, metadata enrichment, QA validation, and reporting ...

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Ai Ml Prompt Engineer information

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

As of Sep 11, 2026, the average hourly pay for ai ml 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.

Are AI ML prompt engineers in demand?

AI ML prompt engineers are increasingly in demand as organizations seek expertise in designing effective prompts for AI models like language and image generators. The role requires skills in machine learning, natural language processing, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

What does an AI Ml Prompt Engineer do?

An AI ML Prompt Engineer designs and refines prompts to optimize the performance of artificial intelligence and machine learning models, particularly in natural language processing tasks. They work with tools like language models, develop testing strategies, and often have skills in programming, data analysis, and understanding of AI frameworks. Their goal is to improve model accuracy, relevance, and efficiency through prompt engineering techniques.

What cities are hiring for Ai Ml Prompt Engineer jobs?

Cities with the most Ai Ml Prompt Engineer job openings:

What states have the most Ai Ml Prompt Engineer jobs?

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What are popular job titles related to Ai Ml Prompt Engineer jobs?

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Infographic showing various Ai Ml Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior Site Reliability Engineer - AI & Automation.

Hialeah Gardens, FL • On-site

Neshent Technologies
11 - 50 employees
Learn more about Neshent Technologiesexternal

$51.50 - $68.25/hr

Full-time

Posted 9 days ago

Job description

Primary Responsibilities

*Design and implement AI agents, LLM-based solutions, and operational automation for SRE and DevOps environments.
*Support production systems, perform incident response, troubleshooting, and 24x7 operational triage.
*Develop automation and integrations using Python.
*Build and maintain monitoring and observability solutions using Splunk, Datadog, New Relic, or AppDynamics.
*Design and manage cloud infrastructure across AWS, Azure, and/or GCP.
*Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and/or AWS CDK.
*Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases.
*Develop runbook automation, anomaly detection, and intelligent incident management capabilities.
*Collaborate with engineering, operations, and business stakeholders to improve system reliability and operational processes.
*Mentor engineers and help establish SRE, DevOps, automation, and observability best practices.

Required Skills

*5+ years of SRE, DevOps, or Site Reliability Engineering experience.
*Strong Python development skills for automation, tooling, and integrations.
*Experience with AI agents, LLMs, and agentic AI frameworks.
*Experience with Splunk, Datadog, New Relic, AppDynamics, or similar observability platforms.
*Hands-on experience with AWS, Azure, and/or GCP.
*Experience with Terraform, CloudFormation, and/or CDK.
*Strong production support and incident response experience.
*Knowledge of AI/ML, prompt engineering, and operational AI automation.
*Strong communication, stakeholder management, and mentoring skills.
*Ability to work effectively in a 24x7 operational environment.

Preferred Skills

*Experience with Adobe Experience Manager (AEM).
*Experience supporting CMS platforms and digital applications.
*Knowledge of incident management, runbook automation, and anomaly detection.
*Familiarity with Atlassian Rovo, AI operational tooling, and modern observability platforms.

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