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Text Prompt Engineering Jobs (NOW HIRING)

Gamma

AI Engineer

San Francisco, CA · On-site

If you get excited about mixing prompt engineering with software engineering to unlock new AI ... text, layout, and visual generation * Develop complex prompts for new features using AI JSX ...

Judge Group, Inc.

AI/ML Engineer

Jersey City, NJ · On-site

$70 - $80/hr

Design and implement prompt engineering strategies, agentic workflows, and orchestration frameworks ... By providing your phone number, you consent to: (1) receive automated text messages and calls from ...

XPath Solutions

Generative AI Engineer

Charlotte, NC

$60 - $72/hr

Text-based AI applications * Image-based AI applications * Vision Language Models (Vision LLMs) * Multimodal AI applications AI Engineering * Develop and optimize advanced prompt engineering ...

Dcode Talent LLC

GenAI Engineer

Woodlawn, MD · On-site

... text and language generation. · Data management, preprocessing, and feature engineering skills. · Expertise with prompt engineering techniques for guiding AI models. · Experience with cloud-based ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... text and vision capabilities. You will work closely with cross-functional teams to build scalable ... Design and improve prompt engineering and context engineering workflows, including AI evaluation ...

OPPO US Research Center

AI Engineer

Palo Alto, CA

... text and vision capabilities. You will work closely with cross-functional teams to build scalable ... Design and improve prompt engineering and context engineering workflows, including AI evaluation ...

Compunnel

Senior Database Engineer

Parsippany, NJ · On-site

$106K - $144K/yr

... prompt engineering, NL2SQL, and Text-to-SQL systems. Preferred Qualifications • Master's degree in Computer Science, Data Science, AI/ML, or a related field. • 2+ years of hands-on experience ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

... embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation ... text) or emerging LLMs and agent-based systems. - Experience with open source LLMs & toolkits ...

Compunnel

Sr. PL/SQL developer

Parsippany, NJ · On-site

Prompt Engineering, NL2SQL, Text-to-SQL systems Education / Experience / Certification Bachelor's degree in computer science or related field (required) 10+ years of experience as a Database ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... text and vision capabilities. You will work closely with cross-functional teams to build scalable ... and improve prompt engineering and context engineering workflows, including AI evaluation ...

XPath Solutions

NY · On-site

$140 - $210/hr

Develop and optimize advanced prompt engineering strategies to improve LLM performance, accuracy ... Experience with multimodal AI systems combining text, images, and documents Knowledge of AI ethics ...

XPath Solutions

Generative AI Engineer

Charlotte, NC · On-site

$140 - $190/hr

Develop and optimize advanced prompt engineering strategies to improve LLM performance, accuracy ... Experience with multimodal AI systems combining text, images, and documents Knowledge of AI ethics ...

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Text Prompt Engineering information

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$95.5K

How much do text prompt engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for text 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.

What are some common challenges faced by text prompt engineers when working with AI models, and how can they be addressed?

Text Prompt Engineers often encounter challenges such as ensuring prompts yield consistent and accurate responses from AI models and mitigating issues like model bias or ambiguous outputs. To address these, it’s important to iteratively test and refine prompts, collaborate closely with data scientists, and stay updated on model capabilities and limitations. Additionally, documenting prompt strategies and sharing learnings with the team can help streamline future projects and improve overall output quality.

What is text prompt engineering?

Text prompt engineering is the process of designing, refining, and optimizing prompts to guide AI language models, like ChatGPT, towards producing desired outputs. It involves understanding how AI interprets natural language and crafting instructions or queries that elicit specific, accurate, or creative responses. Prompt engineers experiment with phrasing, structure, and context to improve the model's performance on various tasks, such as content generation, summarization, or problem-solving. This emerging field is crucial for maximizing the effectiveness of AI in real-world applications.

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

AspectText Prompt EngineeringData Scientist
Required CredentialsKnowledge of NLP, AI, and prompt design; often self-taught or with specialized coursesDegree in Data Science, Computer Science, or related fields; certifications like CAP or DASCA
Work EnvironmentPrimarily remote, focused on AI platforms and language modelsVaries; offices, research labs, or remote, working with data analysis and modeling
Industry UsageUsed in AI development, chatbot design, and NLP applicationsApplied in finance, healthcare, tech, and research for data analysis and predictive modeling

While both roles involve working with data and AI, Text Prompt Engineering focuses on designing effective prompts for language models, whereas Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in their primary tasks and industry applications.

What are the key skills and qualifications needed to thrive as a text prompt engineer, and why are they important?

To thrive as a Text Prompt Engineer, you need a strong grasp of natural language processing (NLP), prompt design best practices, and an understanding of AI model behavior, often supported by experience in linguistics or computer science. Familiarity with large language model platforms (such as OpenAI, Anthropic, or Google), version control tools, and prompt evaluation frameworks is common in this role. Exceptional critical thinking, creativity, and collaboration skills help engineers craft effective prompts and iterate quickly based on model outputs and team feedback. These competencies are crucial for maximizing AI performance, generating accurate results, and delivering real-world value from language models.
More about Text Prompt Engineering jobs
What job categories do people searching Text Prompt Engineering jobs look for? The top searched job categories for Text Prompt Engineering jobs are:
Text Prompt Engineering jobs near you
Infographic showing various Text Prompt Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

AI Engineer

Gamma

San Francisco, CA • On-site

Full-time

Re-posted 26 days ago

Job description

About the role
You'll own the core AI systems that power Gamma: the models, prompts, and pipelines behind text, image, and layout generation. With over 1 million AI-generated presentations and 6 million AI images created every day, this work operates at massive scale. Your job is to elevate quality, evaluate new frontier models, and push into new capabilities and modalities.
This role is about productizing existing foundation models, not training new ones. You'll focus on prompting, evaluating, and fine-tuning for maximum performance across Gamma's product surface. You'll also launch new modalities like voice and video, build the evaluation infrastructure to measure what "good" looks like, and own uptime, latency, and cost across our AI stack. You'll work closely with engineering and product to ship improvements that millions of users feel immediately.
You'll thrive here if you're a tinkerer who loves pushing foundation models to their limits and you're equally comfortable writing prompts and writing production code. If you get excited about mixing prompt engineering with software engineering to unlock new AI capabilities, this is your role.
Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
What you'll do
  • Own Gamma's LLM and image prompts, measuring and continuously improving quality at scale across text, layout, and visual generation
  • Develop complex prompts for new features using AI JSX, balancing creativity with reliability
  • Build evaluation frameworks for prompts and models, combining quantitative metrics with qualitative feedback to create better test sets
  • Drive the AI roadmap based on quality gaps, constantly evaluating new frontier models and methods
  • Curate datasets for fine-tuning open-source models and launch new modalities like voice and video
  • Own analytics, tracking, uptime, latency, and cost across Gamma's AI infrastructure
What you'll bring
  • Proven track record pushing foundation models to their limits, with hands-on experience building and evaluating prompts at scale
  • Proficiency in TypeScript and Python, with a software engineering foundation that lets you move fluidly between prompt engineering and production development
  • Strong data instincts: experience writing evals, designing metrics, and translating qualitative feedback into measurable, actionable improvements
  • Self-sufficient in gathering and cleaning data to inform prompt improvements and model evaluations
  • Experience with modern LLMs and image models such as Flux and Imagen (Nice to have)
  • Familiarity with AI tooling like AI JSX for prompting and Braintrust for evaluations (Nice to have)

Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $300K plus benefits & equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

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