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Generative Ai Prompt Engineer Jobs (NOW HIRING)

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Solid grasp of machine learning algorithms and generative AI ... Experience with prompt engineering and RAG techniques is a plus. * Data wrangling skills and data ...

New

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

$140 - $190/hr

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve ...

United Airlines

AWS Generative AI Engineer

Columbia, SC · Hybrid

$60 - $78.75/hr

Prompt Engineering * RAG Architecture * Vector Databases * AI Agents and Agentic Workflows * Finetuning and Model Evaluation * Responsible AI and AI Governance Programming Frameworks * Proficiency in ...

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 ...

Symhas

Generative AI Lead

Pleasanton, CA · On-site

$185K/yr

Generative AI Lead We are hiring a Generative AI Lead to spearhead AI innovation at our Pleasanton ... Oversee prompt engineering, fine-tuning, RLHF, and model evaluation practices * Build responsible ...

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 ...

Sibitalent Corp

Generative AI Engineer

Whippany, NJ · On-site

Implement hallucination reduction, prompt engineering strategies, and model evaluation methods ... Generative AI (LLMs, embeddings, RAG, LLM based apps). * 6+ months of hands on experience with ...

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 ...

System One

Sr AI Enterprise Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

AI Prompt engineering * Using generative AI tools * AI assisted productivity * Understand quality engineering practices * Needs to understand security testing practices Flex Skills/Nice to Have:

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

... Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM ... Implement prompt engineering and RAG (Retrieval-Augmented Generation) strategies to improve ...

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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 Aug 8, 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 is a generative AI prompt engineer?

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.
More about Generative Ai Prompt Engineer jobs
What are the most commonly searched types of Generative Ai Prompt Engineer jobs? The most popular types of Generative Ai Prompt Engineer jobs are:
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 August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $106,377 per year, or $51.1 per hour.

AI Solutions Engineer (Snowflake & Generative AI)

S Linx LLC

Princeton, NJ • On-site

Other

Posted 15 days ago

Job description

Job Title: AI Solutions Engineer (Snowflake & Generative AI)

Location: Princeton, NJ Locals only

Primary Responsibilities

·        Design and develop AI-powered applications using Snowflake Cortex, Large Language Models (LLMs), and Agentic AI frameworks.

·        Build and optimize semantic models and AI-ready datasets for structured and unstructured data.

·        Design and automate data ingestion, transformation, orchestration, and refresh pipelines.

·        Integrate clinical, commercial, and external data sources into enterprise AI workflows.

·        Optimize Snowflake performance and ensure production-ready, maintainable solutions.

·        Support deployment, testing, and operationalization of AI solutions.

Required Qualifications

·        7+ years of experience in Data Engineering, AI Engineering, or Software Engineering.

·        Strong hands-on experience with Snowflake, including Snowpark, SQL, and performance optimization.

·        Experience developing Generative AI applications using LLMs, Prompt Engineering, RAG, AI Agents, and workflow orchestration.

·        Strong programming skills in Python.

·        Experience designing semantic data models and enterprise data pipelines.

Preferred Qualifications

·        Experience with Snowflake Cortex (Analyst, Search, Complete, Intelligence, Cortex Agents).

·        Experience with healthcare or life sciences data.

·        Experience with OMOP, claims data, clinical trial data, or commercial pharmaceutical data.

Technical Skills

·        Snowflake (Snowpark, Cortex, SQL)

·        Python

·        Generative AI / LLMs

·        RAG & AI Agents

·        Prompt Engineering

·        Semantic Modeling

Nice-to-Have Experience

·        Commercial Pharma Analytics

·        Clinical Trials

·        Claims Data

·        OMOP Data Model

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