ZipRecruiter

Log In

1

Openai Prompt Engineering Jobs (NOW HIRING)

Herbalife

Prompt Engineer, AI

Los Angeles, CA · Remote

... engineering frameworks and guidelines for different AI use cases and applications Test and iterate ... OpenAI, Anthropic, Azure OpenAI, etc.) Knowledge of RAG architectures and vector databases ...

Inizio Partners Corp

Prompt Engineer

New York, NY · Hybrid

GenAI & Prompting - prompt engineering techniques (few-shot, chain-of-thought, structured prompts);Experience with Azure OpenAI / LLM APIs; Prompt versioning and optimization * RAG & Retrieval ...

Cognizant Technology Solutions

Prompt Engineer

Norfolk, VA · On-site

$95K - $130K/yr

Integrate and manage OpenAI APIs (GPT models, embeddings, function calling, assistants, fine-tuning) * Create, test, and optimize prompt engineering strategies for accuracy, reliability, and cost ...

Arkhya Tech

Azure OpenAI Consultant

Vienna, VA · Hybrid

$55.25 - $68.50/hr

Apply prompt engineering for LLM optimization * Support enterprise AI deployments in regulated ... Hands-on with Azure OpenAI / GenAI * Experience with Copilot Studio / Power Platform * Proficiency ...

RealPage, Inc.

AI Engineer (DFW Hybrid)

Richardson, TX · On-site

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

AMSYS Talent

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

The engineer will design Python-based AI workflows, optimize Azure AI Foundry deployments, and ... Develop scalable Python workflows using Azure OpenAI, Prompt Flow, LangChain, and AI Search

Adobe

Product Security Engineer

Seattle, WA

Build security analysis capabilities using LLM integrations with Azure OpenAI, prompt engineering, retrieval-augmented generation, and vector-based context retrieval. * Develop and maintain platforms ...

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX

$107K - $182K/yr

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX · On-site

$107K - $182K/yr

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

RealPage, Inc.

AI Engineer III HYBRID

Richardson, TX

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

RealPage, Inc.

AI Engineer III HYBRID

Richardson, TX

LangChain, OpenAI Agents SDK, Google ADK or similar frameworks. * Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve task completion, reliability, and ...

next page

Showing results 1-20

People also search for

All JobsOpenai Prompt Engineering Jobs

Openai Prompt Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do openai prompt engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for openai prompt engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

How does an OpenAI Prompt Engineer typically collaborate with cross-functional teams during project development?

OpenAI Prompt Engineers work closely with data scientists, product managers, and software developers to design and refine prompts that drive optimal AI responses. Collaboration often involves iterative testing, sharing prompt results, and discussing improvements based on project goals and user feedback. Clear communication and adaptability are key, as prompt engineers must translate technical insights into actionable recommendations for team members with varying AI expertise. This collaborative environment helps ensure that AI models are aligned with both technical requirements and user needs.

What is the difference between Openai Prompt Engineering vs Data Scientist?

AspectOpenai Prompt EngineeringData Scientist
Required CredentialsKnowledge of AI, NLP, prompt designStatistics, programming, data analysis
Work EnvironmentAI labs, tech companies, remoteResearch, corporate, analytics teams
Industry UsageAI development, NLP applicationsData analysis, predictive modeling
Common Search IntentOptimizing AI prompts, language modelsData analysis, machine learning projects

Openai Prompt Engineering focuses on designing prompts to optimize AI language models, requiring skills in NLP and AI concepts. Data Scientists analyze data, build models, and derive insights, often with programming and statistical expertise. While both roles involve working with data and AI, prompt engineers specialize in language model interaction, whereas data scientists work broadly with data analysis and machine learning.

What are the key skills and qualifications needed to thrive as an OpenAI Prompt Engineer, and why are they important?

To excel as an OpenAI Prompt Engineer, you need a solid grounding in natural language processing, programming (especially Python), and experience with AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with large language models (like GPT), prompt design frameworks, and tools such as OpenAI API, as well as version control systems (e.g., Git), is crucial. Creative problem-solving, attention to detail, and strong communication skills help you craft effective prompts and collaborate with cross-functional teams. These skills ensure that AI models deliver accurate, safe, and contextually relevant outputs, maximizing their real-world value.

What is OpenAI prompt engineering?

OpenAI prompt engineering is the practice of designing and refining input prompts to guide AI models, like GPT-4, to produce desired and accurate outputs. Prompt engineers experiment with wording, context, and formatting to maximize the model's performance for various tasks, such as answering questions, generating content, or solving problems. This role involves understanding both the capabilities and limitations of AI models, and leveraging that knowledge to create prompts that yield reliable results. Prompt engineering is crucial for developing efficient AI-powered applications and ensuring they meet user needs.
Infographic showing various Openai Prompt Engineering job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
AI & Intelligent Automation Engineer

AI & Intelligent Automation Engineer

NMK Global Inc.

Indianapolis, IN

Other

Posted 4 days ago

Job description

Job Title: AI & Intelligent Automation Engineer

Experience: 4 6 Years
Employment Type: Contract
Location: Indianapolis, IN

Skills Required

Python | Generative AI | Azure OpenAI | Prompt Engineering | RAG | AI Agents | Intelligent Automation | RPA | Azure Cloud | API Development | Microservices | ETL | MLOps | LLMOps | Data Processing

Job Summary

We are looking for an AI & Intelligent Automation Engineer with 4 6 years of experience in developing AI-powered applications and automation solutions. The ideal candidate will have hands-on expertise in Python, Generative AI, Large Language Models (LLMs), Azure OpenAI, and workflow automation technologies. This role involves building intelligent solutions, integrating enterprise systems, and supporting AI transformation initiatives across business functions.

Key Responsibilities

  • Design and develop AI-powered applications using Generative AI and Large Language Models (LLMs).
  • Build and implement AI agents, RAG-based solutions, and intelligent automation workflows.
  • Develop APIs and microservices for seamless integration with enterprise applications.
  • Create and maintain ETL pipelines for processing structured and unstructured data.
  • Support deployment, monitoring, and lifecycle management of AI/ML models using MLOps/LLMOps practices.
  • Collaborate with business stakeholders and technical teams to deliver scalable AI solutions.
  • Participate in PoCs, pilot programs, testing, deployment, and production support activities.
  • Ensure adherence to security, compliance, and quality standards.

Required Skills

  • 4 6 years of experience in software development, AI/ML, or intelligent automation.
  • Strong programming skills in Python.
  • Hands-on experience with Generative AI, Azure OpenAI, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
  • Experience with AI-driven workflow orchestration and automation platforms.
  • Knowledge of API development and microservices architecture.
  • Experience with Azure cloud services and data platforms.
  • Understanding of ETL processes and data integration techniques.
  • Familiarity with Agile development methodologies and DevOps practices.

Preferred Skills

  • Exposure to Life Sciences or Pharmaceutical domain processes.
  • Knowledge of vector databases, semantic search, and knowledge graphs.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Understanding of AI governance, explainability, and model validation frameworks.
  • Experience with Power BI or similar reporting tools.
  • Exposure to Adobe AEM/AJO or Salesforce Marketing Cloud.

Education

  • Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related field.

Keywords: Python, Generative AI, Azure OpenAI, LLM, RAG, Prompt Engineering, AI Agents, Intelligent Automation, RPA, Azure, MLOps, LLMOps, ETL, Microservices, Data Engineering.

Apply