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Text Prompt Engineering Jobs (NOW HIRING)

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

This role combines linguistic creativity, AI prompt engineering, and real-world experimentation ... Design multi turn dialogue flows for text and voice agents with context awareness and memory ...

Cantina

Prompt Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

You'll collaborate closely with product, design, and engineering to discover what makes AI ... across text, voice, image, and video. * Identify key personality traits that make AI personas ...

Sensi.ai

Prompt Engineer

Austin, TX · On-site

This role combines linguistic creativity, AI prompt engineering, and real-world experimentation ... Design multi turn dialogue flows for text and voice agents with context awareness and memory ...

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques ... Experience with multi-modal models (text, image, audio) * Background in NLP, ML, or Data Science

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

Hands-on experience using AI for document analysis, text summarization, and data extraction * Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

Clerk AI

Staff Software Engineer

San Francisco, CA · On-site

... prompt engineering to context management, tool calling, and response streaming • Drive ... text, text-to-speech, or VAD technologies • Background in prompt optimization at scale--A/B ...

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

Design, test, and optimize prompt engineering strategies . Build and manage embeddings, vector ... Work with multimodal models involving text, documents, and images Collaboration with AI CoE . Work ...

Judge Group, Inc.

Java Developer - III

Alpharetta, GA · On-site

$50 - $55/hr

You should possess strong prompt engineering skills, enabling you to accelerate development ... By providing your phone number, you consent to: (1) receive automated text messages and calls from ...

New

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Text / Unstructured Data (NLP & GenAI) - Building low‑latency real‑time systems using deep learning, LLMs, prompt engineering, and agentic AI frameworks. This role requires strong expertise in ...

AT&T

Lead Cybersecurity - Insider Risk Engineer

Kimball, NE · On-site

$102K - $134K/yr

Prompt engineering and prompt versioning * Tool/function calling and agentic workflows * Output ... text. * Working knowledge ofincident response lifecycleand case management processes (ticketing ...

Diablo Convoy

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

Hands-on experience using AI for document analysis, text summarization, and data extraction * Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

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 ...

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Text Prompt Engineering information

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How much do text prompt engineering jobs pay per year?

As of Jul 21, 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.
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Text Prompt Engineering jobs near you
Infographic showing various Text Prompt Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Prompt Engineer

Sensi.AI

Austin, TX • On-site, Remote

Full-time

Posted 21 days ago

Job description

Description
Why Join Sensi.AI
Sensi.AI is transforming the world of home care through agentic AI - and we're just getting started. As a hyper-growth startup, every team member has the opportunity to make a real impact on people's lives while working as part of a global, collaborative team in a flexible hybrid environment.
About the Role
We are looking for a Prompt Engineer to design, optimize, and continuously improve multi-turn conversational experiences across multiple Sensi.AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation.
You'll work closely with product managers, who will provide requirements and prioritization, while you focus on crafting and iterating prompts, testing in real-world scenarios, and delivering natural, trustworthy interactions.
This role is based in Austin, TX, with a hybrid work setup, combining in-office collaboration with remote flexibility.
Key Responsibilities
Conversational Design and Prompting
  • Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.
  • Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.

Continuous Testing and Improvement
  • Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.
  • Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.

Collaboration and Delivery
  • Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.
  • Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.

Documentation and Knowledge Sharing
  • Maintain a prompt library with flows, system prompts, and version history and set guidelines for tone, multilingual consistency, and testing.
  • Share insights and learnings with the broader product and AI teams.

Requirements
  • Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.
  • Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).
  • Ability to define consistent, persona-driven conversational styles across multiple agents and products.
  • Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).
  • Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.
  • Basic programming skills (Python preferred) for testing and prototyping prompts.
  • Strong cross functional partnership and communications skills.

Nice-to-Have
  • Background in healthcare, caregiving, or other regulated industries.
  • Multi-lingual proficiency.

Sensi celebrates diversity and uphold equal opportunity in our hiring practices. Our approach fosters an inclusive environment that sparks innovation and reflects the vibrant communities we serve. All persons shall have the opportunity to be considered for employment without regard to any characteristic protected by applicable federal, state, or local laws and ordinances.

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