ZipRecruiter

Log In

2

Full Time Prompt Engineering Jobs (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Vultus Inc

Gen AI Engineer Experience 3-6 Years Job Type Full-Time Job Summary We are looking for a skilled ... Develop prompt engineering strategies and evaluate model responses. * Build AI agents and ...

Northern Base

Gen AI Engineer

Austin, TX · On-site

Austin, TX (Onsite) Employment Type: Full-Time Experience Required: 8-10 Years Visa Type: All Valid ... Prompt Engineering & LLM Orchestration * LLM Evaluation Frameworks & Responsible AI Practices

Huzzle

AI Engineer - Remote

Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly ... Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.

Northern Base

AI Developer - ServiceNow

Cincinnati, OH · Remote

$55.25 - $76/hr

Cincinnati, OH (Remote) Employment Type: Full-Time Experience Required: 4-6 Years Visa Type: USC ... Prompt Engineering & Optimization * Agent Logic & Behavioral Refinement * ServiceNow Platform ...

YO AI Labs

Mental Health Expert - Remote

Boston, MA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

Mental Health Expert - Remote

San Francisco, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

Mental Health Expert - Remote

Dallas, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

previous pagenext page

Showing results 21-40

All JobsFull Time JobsFull Time Prompt Engineering Jobs

Full Time Prompt Engineering information

See salary details

$46.5K

$146.9K

$174K

How much do full time prompt engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full time prompt engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is prompt engineering?

Prompt engineering is the practice of designing, testing, and refining the inputs (prompts) given to artificial intelligence models, such as large language models, to achieve specific and desirable outputs. This role involves understanding how AI models interpret language and using that knowledge to create prompts that guide the model toward accurate, relevant, or creative responses. Prompt engineers often work closely with developers, data scientists, and product teams to optimize AI performance for various applications. As AI models become more advanced, prompt engineering has become an essential skill for leveraging their full potential.

What are the key skills and qualifications needed to thrive as a full time prompt engineer?

To thrive as a Full Time Prompt Engineer, you need a solid background in computer science, natural language processing, and machine learning, often supported by a relevant degree or experience with AI models. Familiarity with tools like Python, large language model APIs (such as OpenAI or Anthropic), and prompt optimization frameworks is typically required. Strong analytical thinking, creativity, and clear written communication are crucial soft skills for designing effective prompts and collaborating with multidisciplinary teams. These skills ensure the development of high-performing AI solutions and the ability to translate user needs into actionable, efficient prompts.

What are some common challenges faced by full time prompt engineers, and how can they overcome them?

Full Time Prompt Engineers often encounter the challenge of crafting prompts that consistently yield accurate, relevant, and unbiased responses from AI models. Adapting to rapidly evolving AI technologies and understanding nuanced model behaviors can also be demanding. Overcoming these challenges requires staying current with the latest AI developments, collaborating closely with data scientists and developers, and continuously testing and refining prompts based on feedback and performance metrics. Embracing a mindset of experimentation and regular communication within cross-functional teams is key to success in this dynamic field.

What is the difference between Full Time Prompt Engineering vs Data Scientist?

AspectFull Time Prompt EngineeringData Scientist
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI toolsBachelor's/Master's in CS, Statistics, or related; experience with data analysis and modeling
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, finance, healthcare; often office-based or remote
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Full Time Prompt Engineering focuses on designing and optimizing prompts for AI models, primarily in NLP tasks. Data Scientists analyze data to build models and generate insights. While both roles require technical skills and often overlap in AI projects, Prompt Engineers specialize in prompt design, whereas Data Scientists focus on data analysis and modeling.

Are full time prompt engineers still in demand?

Full time prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. Skills in natural language processing, machine learning, and familiarity with AI tools like GPT are valuable in this growing field, which is expected to continue expanding with advancements in AI technology.
More about Full Time Prompt Engineering jobs

What cities are hiring for Full Time Prompt Engineering jobs?

Cities with the most Full Time Prompt Engineering job openings:

What are the most commonly searched types of Prompt Engineering jobs?

The most popular types of Prompt Engineering jobs are:

What are popular job titles related to Full Time Prompt Engineering jobs?

For Full Time Prompt Engineering jobs, the most frequently searched job titles are:

Full Time Prompt Engineering jobs near you
Infographic showing various Full Time Prompt Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

AI/ML Engineer - Remote

Chicago, IL • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 12 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.