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Openai Prompt Engineering Jobs (NOW HIRING)

Qualibar

Full Stack .NET Engineer

Gainesville, GA

LLM APIs , including OpenAI, Azure OpenAI, Anthropic, Gemini, or similar * Prompt engineering for structured, reliable AI outputs * RAG implementation , including embeddings, vector search, document ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

This role focuses on prompt engineering model integration AI workflow design and full stack enablement working across multiple AI models and platforms including OpenAI and other enterprise LLM ...

Edgewater Federal Solutions, Inc.

$105K - $118K/yr

Integrate AI/ML capabilities including LLM APIs (Claude, OpenAI), prompt engineering, RAG patterns, anomaly detection, and predictive modeling. * Create and maintain CI/CD pipelines (GitLab, GitHub ...

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

Hands-on experience with LLMs and GenAI frameworks (LangChain, LlamaIndex, OpenAI APIs, Hugging Face) * Experience with prompt engineering, RAG pipelines, and embeddings * Knowledge of vector ...

VeridianTech

$140K - $145K/yr

Experience with OpenAI APIs, Azure OpenAI, HuggingFace, and prompt engineering. Familiarity with building scalable APIs using FastAPI, Flask, or Django. Hands on knowledge of cloud services (Azure ...

colonialgroup

AI Engineer

Savannah, GA · On-site

Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI). * Knowledge of prompt engineering techniques. * SQL experience for querying and integrating data. * Understanding of workflow ...

colonialgroup

AI Engineer

Savannah, GA

Familiarity with LLM APIs (OpenAI, Anthropic, Azure OpenAI). * Knowledge of prompt engineering techniques. * SQL experience for querying and integrating data. * Understanding of workflow ...

Arohak Inc

Gen AI Engineer

Raritan, NJ

... APIs (OpenAI, Anthropic Claude, Google Gemini) Knowledge of prompt engineering and chain-of-thought reasoning Familiarity with LangChain, LlamaIndex, or similar frameworks Understanding of RAG ...

Saransh Inc

Gen AI Tech Lead

Westlake, TX · On-site

... OpenAI Services * experience building Gen AI solutions with AWS Bedrock * Strong programming skills in Python, with experience in AI/ML frameworks * Knowledge of prompt engineering, fine-tuning, and ...

Accord Technologies Inc.

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Hands-on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering. * Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex . * Proficiency with ...

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Openai Prompt Engineering information

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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.

Full Stack .NET Engineer

Qualibar

Gainesville, GA

Other

Posted 24 days ago

Job description

Job Title: Full Stack .NET Engineer

Location: 1025 Airport Pkwy, Gainesville, GA 30501

Duration: Full Time

About the Role

We are looking for a strong Full Stack Engineer with hands-on experience in React, C#, .NET Core / .NET 6+, SQL Server, and AI application development. This role is ideal for an engineer who can build reliable business applications, design clean APIs, work across the frontend and backend, and help integrate modern AI capabilities such as LLM APIs, prompt engineering, RAG, and AI-driven workflows.

The right candidate should be comfortable working in a fast-moving environment, translating business requirements into technical solutions, and building production-ready software — not just demos that sparkle for five minutes and then collapse like a lawn chair.

Key Responsibilities

  • Design, develop, and maintain full-stack applications using React, C#, .NET Core / .NET 6+, and SQL Server
  • Build and consume REST APIs for internal and external system integrations
  • Develop responsive, user-friendly frontend interfaces using React, JavaScript, and/or TypeScript
  • Write efficient SQL queries, stored procedures, and database logic in SQL Server
  • Participate in database design, query optimization, and data modeling
  • Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or similar platforms into business applications
  • Support development of AI-powered features such as chatbots, copilots, document search, summarization, and automated workflows
  • Assist with RAG implementation, including document ingestion, chunking, embeddings, retrieval, and response generation
  • Apply prompt engineering best practices to improve AI output quality, reliability, and guardrails
  • Collaborate with product owners, business stakeholders, designers, QA, and other engineers
  • Participate in Agile/Scrum ceremonies, sprint planning, code reviews, and technical discussions
  • Support DevOps and CI/CD workflows, including deployments, build pipelines, and environment troubleshooting
  • Write clean, maintainable, testable code following software engineering best practices

Required Skills & Experience

  • Strong experience with C# and .NET Core / .NET 6+
  • Strong frontend development experience with React
  • Solid experience with JavaScript and/or TypeScript
  • Strong working knowledge of SQL Server
  • Experience building and integrating REST APIs
  • Good understanding of software engineering fundamentals, design patterns, debugging, and code quality
  • Experience working in Agile/Scrum development environments
  • Familiarity with DevOps and CI/CD concepts
  • Ability to understand business requirements and convert them into scalable technical solutions
  • Strong communication skills and ability to explain technical tradeoffs clearly

AI Engineering Experience

The ideal candidate should have practical exposure to some or all of the following:

  • Python for AI workflows, scripting, or backend services
  • LLM APIs, including OpenAI, Azure OpenAI, Anthropic, Gemini, or similar
  • Prompt engineering for structured, reliable AI outputs
  • RAG implementation, including embeddings, vector search, document retrieval, and response grounding
  • LLM orchestration frameworks or patterns, such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, or custom agent workflows
  • AI feature integration into real-world business applications
  • Understanding of AI limitations, hallucination risks, privacy concerns, and human-in-the-loop workflows

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