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Remote Ai Prompt Engineer Trainee Jobs in Texas (NOW HIRING)

Gigapower

Embedded AI Engineer - Finance

Dallas, TX · On-site +1

$130K - $171K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... prompt engineering, RAG, AI agents, or automation workflows. • Strong proficiency in Python. • ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

Agentic AI Architecture & Delivery * Design and implement (multi) agentic workflows where LLMs plan ... Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

Agentic AI Architecture & Delivery * Design and implement (multi) agentic workflows where LLMs plan ... Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

US Ghost Adventures

AI Content Creation

Houston, TX · On-site +1

$42K/yr

Remote from home At Tourismo, we craft unforgettable experiences, from historic walking tours to ... Continuously test, refine, and implement new generative workflows and prompt engineering techniques ...

Gigapower

Embedded AI Engineer - IT

Dallas, TX · On-site +1

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... prompt engineering, RAG, AI agents, or automation workflows. • Strong proficiency in Python. • ...

Gigapower

Applied AI Engineer

Dallas, TX · On-site +1

As an AI-forward organization, we encourage employees at every level to embrace emerging ... prompt engineering, retrieval systems, and evaluation methodologies. • Build and maintain ...

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Remote Ai Prompt Engineer Trainee information

What is a Remote AI Prompt Engineer Trainee?

A Remote AI Prompt Engineer Trainee is an entry-level professional who works remotely to learn how to design, test, and optimize prompts for artificial intelligence models, such as large language models. Their main responsibility is to develop effective queries or instructions that guide AI models to produce accurate and relevant outputs. Trainees often work under the supervision of experienced prompt engineers and participate in hands-on training, gaining practical experience with AI tools and prompt engineering best practices. This role is ideal for individuals interested in AI, natural language processing, and technology-driven problem solving.

What are the key skills and qualifications needed to thrive as a Remote AI Prompt Engineer Trainee?

To thrive as a Remote AI Prompt Engineer Trainee, you need a strong foundation in language proficiency, analytical thinking, and a basic understanding of artificial intelligence concepts, often complemented by coursework or certifications in computer science or related fields. Familiarity with AI platforms, prompt engineering tools, and collaborative systems like GitHub or Slack is typically expected. Creativity, attention to detail, and effective communication are standout soft skills for this position. These skills and qualities are vital for designing precise prompts, troubleshooting outputs, and collaborating efficiently in remote, cross-functional teams.

What are the typical challenges faced by a Remote AI Prompt Engineer Trainee when collaborating with cross-functional teams?

As a Remote AI Prompt Engineer Trainee, one common challenge is effectively communicating technical concepts and prompt design strategies with team members from non-technical backgrounds, such as product managers or UX designers. Since work is remote, navigating time zones and ensuring clear documentation can also be difficult. However, regular virtual meetings, proactive updates, and using collaborative tools help bridge these gaps, allowing trainees to contribute meaningfully to AI model development and refinement.

What is the difference between Remote Ai Prompt Engineer Trainee vs Remote Ai Prompt Engineer?

AspectRemote Ai Prompt Engineer TraineeRemote Ai Prompt Engineer
Required CredentialsBasic understanding of AI and prompts, often entry-level certifications or self-taughtAdvanced knowledge of AI, experience with prompt engineering, and relevant certifications
Work EnvironmentTraining programs, internships, or entry-level roles, often remoteFull-time remote positions, working on complex AI prompt development
Employer & Industry UsageTech companies, startups, AI service providers, focusing on learning and developmentEstablished companies, AI research labs, and product teams deploying AI solutions

The main difference between a Remote Ai Prompt Engineer Trainee and a Remote Ai Prompt Engineer is experience level and responsibility. Trainees are in learning phases, focusing on acquiring skills, while engineers are experienced professionals actively developing and optimizing AI prompts for real-world applications.

What are popular job titles related to Remote Ai Prompt Engineer Trainee jobs in Texas?

For Remote Ai Prompt Engineer Trainee jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Ai Prompt Engineer Trainee jobs in Texas look for?

The top searched job categories for Remote Ai Prompt Engineer Trainee jobs in Texas are:

What cities in Texas are hiring for Remote Ai Prompt Engineer Trainee jobs?

Cities in Texas with the most Remote Ai Prompt Engineer Trainee job openings:

Remote Ai Prompt Engineer Trainee jobs near you
Infographic showing various Remote Ai Prompt Engineer Trainee job openings in Texas as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution.

Senior AI Engineer Software Engineer Government Technology

ICON

Austin, TX • On-site, Remote

$192K - $264K/yr

Full-time

Re-posted 18 days ago

Job description

ICON is looking for a pragmatic builder who has made the leap from traditional software engineering into the emerging world of agentic AI development to join our Government Technology team. As an AI Software Engineer at ICON, you will be responsible for designing and shipping AI-powered tools, workflows, and autonomous agents that accelerate ICON's construction technology platform. This role reports to the Sr. Director, Defense Technology Programs and is available for remote work with periodic travel to ICON HQ in Austin, TX as projects require.
 

RESPONSIBILITIES

  • Design and build agentic AI systems that automate complex, multi-step workflows across ICON's software platform
  • Develop LLM-powered features and products using state-of-the-art foundation models and APIs (e.g. Anthropic, OpenAI)
  • Architect and implement multi-agent pipelines, tool-use systems, and Model Context Protocol (MCP) integrations
  • Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval
  • Collaborate with software and domain teams to identify high-leverage AI automation opportunities and translate them into shipped products
  • Own the full development lifecycle of AI features: prototyping, evaluation, deployment, and iteration
  • Serve as a technical resource and informal mentor on agentic AI best practices across the engineering organization
  • Stay at the leading edge of the agentic AI landscape and bring emerging techniques into production


MINIMUM QUALIFICATIONS

  • 8+ years of professional software engineering experience with a strong foundation in backend or full-stack development
  • Demonstrated experience building and shipping production-grade products using LLMs and agentic frameworks
  • Proficiency in TypeScript and/or Python
  • Deep understanding of prompt engineering, context management, and LLM reasoning patterns
  • Experience with tool-use, function calling, and agent orchestration (e.g. LangChain, LlamaIndex, Claude Code, or custom implementations)
  • Proficiency in the design and execution of structured evals to measure and improve AI system performance
  • Strong communication skills and comfort working cross-functionally with both technical teams and non-technical stakeholders
  • Experience working in or alongside government, defense, or regulated environments
  • Strong experience working with code generation agents (e.g. Claude Code, Cursor, Devin-style systems)
  • Eligible to obtain and maintain a U.S. Government security clearance.


PREFERRED SKILLS AND EXPERIENCE

  • Experience with MCP (Model Context Protocol) server development and integration
  • Familiarity with vector databases (e.g. pgvector, Pinecone, Weaviate)
  • Experience with fine-tuning, RLHF, or model evaluation pipelines
  • Strong background in ML fundamentals: embeddings, transformers, attention mechanisms
  • Exposure to structured output generation and LLM-based data extraction
  • Familiarity with AWS and serverless infrastructure for AI workloads
  • Interest or background in the AEC (architecture, engineering, construction) industry

The pay range for this position is $192,640 - $264,880 annually. Actual compensation will be determined based on experience, skills, and other job-related factors.

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