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Generative Ai Prompt Engineer Jobs (NOW HIRING)

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

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 ...

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.

Sensi.ai

Prompt Engineer

Austin, TX · On-site

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... About the Role We are looking for a Prompt Engineer to design, optimize, and continuously improve ...

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... Preferred Qualifications Experience with LLM fine-tuning , prompt engineering , and model ...

System One

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Must Have Technical Skills: (Min 8+ years of exp in all of the below required skills) • AI Prompt engineering • Using generative AI tools • AI assisted productivity • Understand quality ...

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 ...

System One

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Must Have Technical Skills: (Min 8+ years of exp in all of the below required skills) • AI Prompt engineering • Using generative AI tools • AI assisted productivity • Understand quality ...

System One

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Must Have Technical Skills: (Min 8+ years of exp in all of the below required skills) • AI Prompt engineering • Using generative AI tools • AI assisted productivity • Understand quality ...

System One

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Must Have Technical Skills: (Min 8+ years of exp in all of the below required skills) • AI Prompt engineering • Using generative AI tools • AI assisted productivity • Understand quality ...

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Generative Ai Prompt Engineer information

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

As of Jul 17, 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.

How much do AI prompt engineers get paid?

AI prompt 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 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.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with generative AI models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools like GPT, with job growth driven by expanding AI applications across industries.

What engineer makes $500,000 a year?

Highly experienced generative AI prompt engineers working in top tech companies or specialized consulting firms can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. These roles typically require advanced skills in AI, machine learning, and prompt engineering, along with a strong portfolio of successful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI startup founder, with compensation including salary, bonuses, and equity reaching that amount annually. These roles often require advanced expertise in AI algorithms, programming skills, and experience managing large projects or teams.

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.

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.
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Generative Ai Prompt Engineer jobs near you

Prompt Engineer

Sensi.AI

Austin, TX • On-site, Remote

Full-time

Posted 17 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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