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Remote Entry Level Prompt Engineer Jobs in Dallas, TX

KEYENCE

Field Application Engineer

Frisco, TX · On-site +1

$54K - $81K/yr

Locations | Entry-Level | Full-Time Are you ready to launch your career with one of the world ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

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All JobsRemote Entry Level Prompt Engineer JobsRemote Entry Level Prompt Engineer Jobs in Dallas, TX

Remote Entry Level Prompt Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.7K

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

As of Jun 13, 2026, the average yearly pay for remote entry level 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 remote entry level prompt engineers, and how can these be managed effectively?

Remote entry level prompt engineers often encounter challenges like ambiguous instructions, rapidly changing project requirements, and limited opportunities for immediate feedback. To manage these, it's helpful to proactively communicate with team members, ask clarifying questions, and make use of collaborative tools such as Slack or project management platforms. Regular check-ins and seeking mentorship from experienced engineers can also help address uncertainties and accelerate your learning curve. Building strong documentation habits and participating in team discussions will further support your growth and integration within the remote team.

What is a Remote Entry Level Prompt Engineer?

A Remote Entry Level Prompt Engineer is a professional who creates, tests, and refines prompts for AI language models, such as ChatGPT, while working from a remote location. Their main responsibility is to design clear and effective instructions that guide AI systems to generate accurate, relevant, and useful responses. This role typically requires analytical thinking, strong communication skills, and an interest in artificial intelligence, but does not always demand advanced technical expertise. Entry-level prompt engineers often collaborate with other team members to optimize prompts and improve model outputs. Working remotely allows these professionals to perform their duties from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Prompt Engineer, and why are they important?

To thrive as a Remote Entry Level Prompt Engineer, you need a solid understanding of language models, basic programming knowledge (often in Python), and strong problem-solving abilities, typically supported by a relevant degree or demonstrated experience. Familiarity with AI platforms like OpenAI's GPT, prompt engineering tools, and version control systems such as Git is commonly required. Creativity, attention to detail, and clear written communication are crucial soft skills for crafting effective prompts and collaborating remotely. These skills ensure the development of accurate, reliable AI outputs and foster productive teamwork in a distributed environment.
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Remote Entry Level Prompt Engineer jobs near you

Senior AI Engineer - Agentic Systems and LLM

Vytwo

Prosper, TX • Remote

$60/hr

Full-time

Posted 22 days ago

Job description

Role: Senior AI Engineer - Agentic Systems and LLM
Client Location: Mason, OH
100% Remote
Job Description:
We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems.
This role owns the end-to-end development of intelligent solutionsfrom architecture to deploymentleveraging Python, modern LLM frameworks, and scalable system design.
Required Skills - AI, LLM, Agentic (Python)
Job Duties -
  • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases
  • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain.
  • Integrate AI systems with APIs, backend services, and cloud platforms
  • Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Job Requirements -
  • 2/3 years hand-on experience developing Agentic workflows
  • Strong Python expertise with experience building and deploying production-grade backend systems
  • Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases
  • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
  • Strong system design skills with experience building and scaling cloud-based applications
Desired Skills & Experience -
  • Experience working in healthcare insurance payer space (payer domain knowledge)
  • Ideally someone onsite 3x week but very open to 100% remote for the right candidate One

This is a remote position.