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Entry Level Generative Ai Prompt Engineer Jobs in Dallas, TX

Droisys

Generative AI Engineer

Dallas, TX · On-site

Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph. * Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.

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 ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology|Generative AI|Generative AI for Data Analytics Overview Infosys Topaz is an ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology|Generative AI|Generative AI for Data Analytics Overview Infosys Topaz is an ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology|Generative AI|Generative AI for Data Analytics Overview Infosys Topaz is an ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology|Generative AI|Generative AI for Data Analytics Overview Infosys Topaz is an ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology|Generative AI|Generative AI for Data Analytics Salary min 73000 Salary max ...

Cognizant

Generative AI Lead Engineer

Dallas, TX · On-site

$120 - $140/hr

Strong experience in Generative AI, LLMs, and prompt engineering * Hands-on experience building applications using .NET, React, Python, or similar technologies * Experience designing AI/ML ...

InterSources Inc

Gen AI Engineer

Irving, TX · On-site

... Prompt engineering • Deployment and maintenance of AI models across all environments including Production. • Code review, testing and documentation • Continuous learning in Generative AI ...

Northern Base

AI Engineer

Irving, TX · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills Data science; statistical modeling; machine learning; generative AI; agentic AI; NLP; LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL ...

Five9

WEM AQM Prompt Engineer

Dallas, TX · On-site

Intellectual Curiosity -- keeps pace with the rapidly evolving LLM and generative AI landscape ... Our AQM Prompt Engineering practice is a newly established center of excellence, designed to ensure ...

ClifyX

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... generative AI models to solve complex problems. • Ability to perform prompt engineering and designing right prompts based on functional use cases. • Should have hands on of NLPAIML tool ...

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All JobsGenerative Ai Prompt Engineer JobsEntry Level Generative Ai Prompt Engineer JobsEntry Level Generative Ai Prompt Engineer Jobs in Dallas, TX

Entry Level Generative Ai Prompt Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.7K

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

As of Aug 10, 2026, the average yearly pay for entry level generative ai prompt engineer in Dallas, TX is $68,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $77,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level generative AI prompt engineers, and how can they overcome them?

Entry-level generative AI prompt engineers often encounter challenges such as crafting effective prompts that yield reliable outputs, staying current with rapidly evolving AI models, and interpreting ambiguous model responses. Overcoming these challenges requires continuous learning, experimentation, and collaboration with more experienced engineers or data scientists. Participating in team discussions, reviewing prompt libraries, and regularly testing prompts with different models can help newcomers build their expertise and confidence in the role.

What is an entry level generative AI prompt engineer?

Entry Level Generative AI Prompt Engineers are professionals who design, test, and refine prompts to interact with generative AI models, such as those used in chatbots or content creation tools. Their role involves understanding how AI responds to different inputs, troubleshooting issues, and optimizing prompts for accuracy and relevance. They typically collaborate with developers, data scientists, and content teams to improve AI outputs for various applications. This entry-level position is ideal for those with basic programming knowledge, strong communication skills, and an interest in artificial intelligence.

What are the key skills and qualifications needed to thrive as an entry level generative AI prompt engineer?

To thrive as an Entry Level Generative AI Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often in Python), and familiarity with AI concepts, typically supported by a relevant degree or coursework. Experience with AI platforms like OpenAI, Hugging Face, or Google Cloud AI, as well as prompt design tools, is commonly required. Creativity, analytical thinking, and strong written communication help you craft effective prompts and collaborate with cross-functional teams. These skills are crucial for developing high-quality AI outputs and ensuring solutions align with user needs and project goals.

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

AspectEntry Level Generative Ai Prompt EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related; basic understanding of AI modelsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentAI labs, tech companies, startupsData analysis teams, research institutions, tech firms
Industry UsageAI development, NLP, chatbot creationData analysis, predictive modeling, research

While both roles require a foundational understanding of technology and data, Entry Level Generative Ai Prompt Engineers focus on designing prompts for AI models, especially in NLP, whereas Entry Level Data Scientists analyze data to derive insights. The roles overlap in technical skills but differ in application and focus areas.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Dallas, TX? The most popular types of Generative Ai Prompt Engineer jobs in Dallas, TX are:
What are popular job titles related to Entry Level Generative Ai Prompt Engineer jobs in Dallas, TX? For Entry Level Generative Ai Prompt Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Generative Ai Prompt Engineer jobs in Dallas, TX look for? The top searched job categories for Entry Level Generative Ai Prompt Engineer jobs in Dallas, TX are:
Entry Level Generative Ai Prompt Engineer jobs near you
Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $68,615 per year, or $33 per hour.

AI Prompt Engineer - Dallas, Tx

Motion Recruitment

Dallas, TX • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Description

An enterprise GenAI and cybersecurity team is hiring an AI Prompt Engineer in Dallas, Tx to support research into next-generation security testing. The team is developing AI-driven methods for examining software and infrastructure for vulnerabilities and uses leading-edge language models as part of its security research process.

You will help build the framework that turns an LLM into a usable cybersecurity testing tool. This includes determining what information a model needs, how a security task should be broken into steps, how prompts should react to prior results, and how findings should ultimately be passed into downstream engineering and security processes. The environment is highly experimental, making curiosity, technical aptitude, and the ability to rapidly improve prompt performance especially valuable.

Required Skills & Experience

  • Strong record of building advanced prompt-based solutions with generative AI
  • Ability to demonstrate specific projects involving complex prompt design or AI orchestration
  • Meaningful professional or hands-on cybersecurity experience
  • Understanding of software vulnerabilities, malicious activity, attack paths, and network security
  • Coding ability in Python, Go, .NET, or another modern software-development language
  • Experience connecting AI workflows to databases or other supporting technical systems
  • Knowledge of PostgreSQL, Elasticsearch, Cloud SQL, or similar data stores
  • Comfort learning new models, languages, and tooling as the technology evolves

Desired Skills & Experience

  • Application-security background
  • Familiarity with code scanning and dynamic application testing
  • Experience performing security research, vulnerability discovery, or penetration testing
  • Cloud engineering knowledge
  • Familiarity with container orchestration
  • Exposure to Kubernetes or GKE

What You Will Be Doing

Daily Responsibilities

  • Research new ways to use generative AI for cyber-defense and security-assessment activities
  • Build sophisticated prompt sequences capable of guiding a model through technical security tasks
  • Create contextual AI harnesses that retain the information necessary for multi-stage investigations
  • Develop use cases around software scanning, simulated penetration testing, and vulnerability identification
  • Apply AI models to infrastructure-oriented testing, including perimeter and port analysis
  • Explore techniques for recognizing security issues involving certificates and network access
  • Run prompting experiments against different frontier models and evaluate the quality of their output
  • Partner with data engineering to ensure model findings are collected in a usable format
  • Provide validated findings to threat-hunting teams for deeper investigation and remediation

The Offer

  • Contract opportunity
  • Competitive hourly compensation

You will receive the following benefits:

  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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