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Generative Ai Prompt Engineer Jobs (NOW HIRING)

Cantina

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

As a Prompt Engineer at Cantina Labs, you will operate at the frontier of social generative AI-shaping how millions of users experience storytelling, and connection through AI characters. You'll ...

Internet Brands

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

... and Generative AI; demonstrated expertise in prompt engineering * Hands-on experience with tool-calling patterns, function routing, and structured output formatting in the context of agent ...

Internet Brands

Prompt Engineer

El Segundo, CA · On-site

$60K - $105K/yr

... and Generative AI; demonstrated expertise in prompt engineering * Hands-on experience with tool-calling patterns, function routing, and structured output formatting in the context of agent ...

Prosum Inc.

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $170K/yr

Generative AI Engineer Location: Remote (U.S.) Salary Range: $120k to $170k About the Role We are ... Establish and enforce engineering standards across prompt design, orchestration, structured outputs ...

Programmers.io

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge ... Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.

Cognizant Technology Solutions

Prompt Engineer

Norfolk, VA · On-site

$95K - $130K/yr

Prompt Engineer About the Role As a Prompt Engineer (LLM / Generative AI) , you will make an impact by designing and delivering intelligent AI-powered solutions using large language models. You will ...

Huzzle

AI Engineer - Remote

Experience working with LLMs, generative AI, prompt engineering, or AI agents . * Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). * Experience deploying ...

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All JobsGenerative Ai Prompt Engineer Jobs

Generative Ai Prompt Engineer information

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$81K

$106.4K

$181K

How much do generative ai prompt engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for generative ai prompt engineer in the United States is $106,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Prompt Engineer vs Data Scientist?

AspectGenerative Ai Prompt EngineerData Scientist
Required CredentialsKnowledge of AI models, programming skills, familiarity with NLPDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, tech industries
Employer & Industry UsageDevelops prompts for AI models, focuses on language generationAnalyzes data, builds models, derives insights

While both roles require programming skills and familiarity with data and AI, Generative Ai Prompt Engineers specialize in crafting prompts to optimize AI language models, whereas Data Scientists focus on analyzing data and building predictive models. The roles often overlap in tech environments but serve different core functions.

What engineers make 500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI/ML engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, architecture, or executive responsibilities often command these compensation levels, particularly in large tech companies or startups with equity options.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers, machine learning executives, or specialized AI consultants, often in large tech companies or startups with significant funding. These positions usually require advanced skills in AI, deep learning, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a track record of impactful projects.

What are Generative AI Prompt Engineers?

Generative AI Prompt Engineers are professionals who design, develop, and refine prompts to optimize the performance of generative AI models, such as large language models or image generators. They work to understand how these models interpret inputs and craft prompts that achieve specific outputs or behaviors. Their work often involves experimentation, data analysis, and collaboration with machine learning teams to improve AI-generated content, ensuring it is accurate, relevant, and aligned with user or business goals.

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

To thrive as a Generative AI Prompt Engineer, you need a strong grasp of natural language processing, machine learning concepts, and experience with large language models, often supported by a degree in computer science or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), prompt engineering tools, and APIs like OpenAI's GPT is typically required. Creative problem-solving, attention to detail, and effective communication are vital soft skills for crafting high-quality prompts and collaborating with interdisciplinary teams. These skills ensure the creation of robust, contextually relevant prompts that drive optimal AI outputs and innovation in conversational AI applications.

How much do prompt AI engineers make?

Prompt AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries, especially in tech hubs or large organizations.

What are some common challenges Generative AI Prompt Engineers face when collaborating with cross-functional teams?

Generative AI Prompt Engineers often work closely with data scientists, product managers, and designers to develop, refine, and implement AI-driven solutions. A common challenge in this collaboration is ensuring that prompts are both technically feasible and aligned with user needs or business goals. Effective communication is crucial, as team members may have varying levels of familiarity with prompt engineering concepts. Prompt Engineers must frequently translate technical requirements into actionable tasks and provide clear feedback on what is or isn't possible within current AI model capabilities.

Is there a demand for AI prompt engineers?

There is increasing demand for AI prompt engineers as organizations seek to optimize interactions with large language models and generative AI systems. Skills in natural language processing, prompt design, and familiarity with AI tools are highly valued in this emerging field, leading to growing job opportunities across various industries.
More about Generative Ai Prompt Engineer jobs
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What job categories do people searching Generative Ai Prompt Engineer jobs look for? The top searched job categories for Generative Ai Prompt Engineer jobs are:
Generative Ai Prompt Engineer jobs near you
Infographic showing various Generative Ai Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $106,377 per year, or $51.1 per hour.

Senior Generative AI Engineer

SBT Global, Inc.

Ridgefield Park, NJ

$10K/mo

Full-time

Posted 5 days ago

Job description

Company Description

On-Site

1yr contract

$10950/month

About the Role

We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure.

You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value.

Job Description
  • Design and develop algorithms for generative models using deep learning techniques
  • Design and build LLM-powered applications for internal and/or customer-facing use cases
  • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems
  • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration
  • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate
  • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability
  • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies
  • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices
  • Build monitoring, observability, and feedback loops for model and application performance in production
  • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems
  • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities
  • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices
    Qualifications
    • Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field
    • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience
    • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production
    • Strong programming skills in Python and experience with backend/API development
    • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design
    • Experience in optimizing RAG pipelines using both structured and unstructured data
    • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent
    • Experience in generative AI techniques such as GANs, and VAEs
    • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search
    • Experience with cloud platforms such as AWS, GCP, or Azure
    • Experience with Docker, Kubernetes, CI/CD, and production deployment practices
    • Strong understanding of software architecture, scalability, reliability, and distributed systems
    • Experience building evaluation, testing, and monitoring for AI systems
    • Strong communication skills and ability to work closely with technical and non-technical stakeholder

    Preferred Qualifications

    • Experience fine-tuning or adapting open-source LLMs
    • Advanced knowledge of natural language processing for text generation tasks
    • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks
    • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar
    • Experience building multi-agent systems or advanced orchestration workflows
    • Experience with AI safety, guardrails, red-teaming, privacy, and governance
    • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems
    • Experience in customer-facing or enterprise SaaS products
    • Experience in semiconductor/manufacturing, retail and e-commerce sectors
    Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Apply