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Prompt Engineering Ai Jobs (NOW HIRING)

We are seeking an AI Prompt Engineer to join a stellar team on contract basis. The AI Prompt ... Apply prompt engineering techniques such as role prompting, structured output design, few-shot ...

Senior AI Engineer

$107K - $146K/yr

Fine-tune, adapt, and evaluate LLMs for domain-specific use cases using prompt engineering ... Implement observability for AI systems, including tracing, logging, performance monitoring, drift ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

Strong understanding of AI models, algorithms, and neural networks. * Experience in prompt engineering, creative writing, or content creation is a plus. * Proficiency in programming languages such as ...

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Prompt Engineering Ai information

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$32.5K

$63K

$95.5K

How much do prompt engineering ai jobs pay per year?

As of Jul 14, 2026, the average yearly pay for prompt engineering ai 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.

What are the key skills and qualifications needed to thrive as a Prompt Engineer in AI, and why are they important?

To thrive as a Prompt Engineer in AI, you need a strong background in computer science, natural language processing, and experience with large language models, often supported by a relevant degree or technical training. Familiarity with AI platforms (such as OpenAI’s GPT), prompt design tools, and programming languages like Python is typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for optimizing prompts and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient, and user-aligned AI outputs in fast-evolving environments.

What are some common challenges faced by Prompt Engineering AI professionals when collaborating with multidisciplinary teams?

Prompt Engineering AI professionals often work closely with data scientists, product managers, and software engineers. One common challenge is translating complex technical requirements from non-technical stakeholders into clear, actionable prompts for AI models. Maintaining effective communication and aligning expectations across teams is crucial, as is ensuring that AI outputs meet both technical and business objectives. Adaptability and a collaborative mindset are essential to navigate differing priorities and continuously optimize AI model performance.

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

AspectPrompt Engineering AiData Scientist
Required CredentialsKnowledge of AI models, programming, and prompt designDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI labs, startupsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, NLP applications, chatbot designData analysis, predictive modeling, data-driven decision making

Prompt Engineering Ai focuses on designing effective prompts for AI models, primarily working with language models and AI tools. Data Scientists analyze data, build models, and generate insights. While both roles require technical skills, Prompt Engineers specialize in AI prompt optimization, whereas Data Scientists work with broader data analysis and statistical methods.

What is a Prompt Engineer in AI?

A Prompt Engineer in AI is a specialist who designs, tests, and refines the inputs (prompts) given to large language models or generative AI systems to optimize their outputs. They work to understand how different prompt formulations influence AI responses, aiming to make the AI perform specific tasks more accurately and reliably. This role often requires strong analytical skills, creativity, and an understanding of both natural language and the capabilities of AI models. Prompt engineers collaborate with product teams, data scientists, and developers to create efficient workflows and improve user experience with AI tools.
More about Prompt Engineering Ai jobs
What cities are hiring for Prompt Engineering Ai jobs? Cities with the most Prompt Engineering Ai job openings:
What states have the most Prompt Engineering Ai jobs? States with the most job openings for Prompt Engineering Ai jobs include:
Infographic showing various Prompt Engineering Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
SR GEN AI Engineer

$87/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: SR GEN AI Engineer

Location: NYC, NY

Duration: 12 Months + Extension

Bill Rate: $87/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

We are looking for a skilled Generative AI Engineer with strong Python expertise to design, develop, and deploy AI-driven solutions. The ideal candidate will have hands-on experience working with large language models (LLMs), prompt engineering, AI frameworks, and production-grade AI systems.

Key Responsibilities:

  • Design and develop Generative AI applications using Python.
  • Work with LLMs (e.g., GPT-based models, open-source LLMs) for text generation, summarization, classification, and automation use cases.
  • Implement prompt engineering techniques and optimize model outputs.
  • Build AI pipelines using frameworks such as LangChain, LlamaIndex, or similar tools.
  • Develop REST APIs to integrate AI models into enterprise applications.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and RAG (Retrieval-Augmented Generation) systems.
  • Fine-tune and evaluate models for performance, accuracy, and scalability.
  • Deploy AI solutions on cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Collaborate with data engineers, product teams, and stakeholders to translate business requirements into AI solutions.
  • Ensure responsible AI practices, including bias mitigation and data security.

Required Skills:

  • Strong proficiency in Python.
  • Experience with Generative AI / LLMs.
  • Knowledge of NLP concepts.
  • Hands-on experience with OpenAI APIs or similar LLM APIs.
  • Experience with RAG architecture.
  • Familiarity with Machine Learning frameworks (PyTorch / TensorFlow).
  • Experience with REST APIs (FastAPI/Flask).
  • Understanding of cloud platforms (AWS/Azure/Google Cloud Platform).
  • Knowledge of Git and CI/CD pipelines.

Preferred Skills:

  • Experience with fine-tuning LLMs.
  • Knowledge of embeddings and vector search.
  • Experience in BFSI/Healthcare/Enterprise domains.
  • Containerization (Docker, Kubernetes).
  • MLOps practices.
    Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.