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

Confie

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Expertise in prompt engineering including chain-of-thought, few-shot learning, and structured ...

Feedonomics

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns ... REMOTE #LI-GC1 (Pay Transparency Range: $116,000.00 - $195,000.00) Compensation Transparency The ...

Bigcommerce

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns ... REMOTE #LI-GC1 (Pay Transparency Range:$116,000.00 - $195,000.00) Compensation Transparency The ...

Cornelis Networks

AI Platform Engineer

Austin, TX · On-site +1

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... Write and Improve Agent Skills and Prompt Engineering: Author and tune the structured workflows and ...

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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.

AI Platform Engineer

Vallen

Houston, TX • On-site, Remote

Full-time

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

Job description

Position Summary:
Vallen Distribution is building a governed, production-grade AI capability on an Azure-first, Databricks-centered architecture. This is not an advisory role - it is a hands-on builder position with broad ownership across the AI layer.
The AI Platform Engineer will own the Databricks AI/ML platform layer, drive enterprise AI governance, review and remediate shadow AI solutions, and directly deliver automation use cases with business teams. You will be the internal AI expert for the organization - the first call for departments exploring automation and the technical authority on what gets built, how, and where data flows.
This is a greenfield opportunity with real scope and visibility. You'll work directly with the SVP of Data & Technology Innovation and have immediate impact on a program that is active and growing today.
Core Responsibilities
Lakehouse AI Layer (Databricks) - ~35%
  • Own the AI/ML layer on Databricks: feature stores, MLflow experiment tracking and model registry, and RAG/prompt architectural standards
  • Define and enforce prompt engineering standards and LLM integration patterns across internal tools
  • Partner with Data Engineering to design data pipelines that feed AI/ML use cases from the Unity Catalog lakehouse
  • Evaluate and implement agentic frameworks (Claude API, Databricks AI agents) for internal automation

Automation Delivery - ~25%
  • Directly build and deliver 2-3 automation use cases per year with business teams (HR, Legal, customer service, operations)
  • Own full delivery lifecycle: scoping, design, build, testing, and handoff to platform operations
  • Produce well-documented, governed solutions - not one-off scripts

AI Governance & Shadow Solution Review - ~20%
  • Serve as the first-filter reviewer for all AI tools and platforms proposed for use at Vallen
  • Partner with Security and Infrastructure to assess data classification risk, vendor posture, and integration risk before production deployment
  • Review user-built solutions (Claude Desktop, Copilot, Cowork, and similar tools) and determine when a productivity workflow has crossed into enterprise scope - then lead the governed rebuild
  • Maintain Vallen's enterprise AI acceptable use policy, data classification guardrails, and platform-tier standards

Use Case Evangelism & Business Partnering - ~20%
  • Embed with departments to surface and prioritize automation opportunities
  • Maintain a scored use case backlog; facilitate structured discovery sessions with business stakeholders
  • Serve as the internal AI resource teams engage before going external

Job Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Experience in AI/ML engineering, data engineering, or a closely related technical role
  • Hands-on experience with Databricks - MLflow, notebooks, Unity Catalog, and Python/SQL workflows; or equivalent lakehouse platform experience with demonstrated ability to ramp quickly
  • Practical experience building with LLMs: prompt engineering, RAG pipelines, or API integration- production or project-level experience counts
  • Strong Python skills; ability to own full solution delivery from prototype to production
  • Solid grounding in Azure: Azure OpenAI, Azure Data Lake Storage, Azure Key Vault, and core networking/security concepts
  • Demonstrated ability to work across technical and non-technical stakeholders - you can explain what you're building and why it matters
  • Experience reviewing or documenting AI/ML solutions for risk, data sensitivity, or governance considerations

Preferred Qualifications:
  • Experience in distribution, supply chain, or industrial B2B environments
  • Familiarity with agentic frameworks: Databricks AI Agent Framework, LangChain, AutoGen
  • Exposure to enterprise AI governance concepts: acceptable use policies, data classification tiers, model risk review
  • Experience with Azure DevOps (ADO), CI/CD pipelines)
  • Familiarity with Power BI, Databricks Genie, or other BI/AI consumption layers
  • Working knowledge of MDM, ERP data structures, or multi-system data environments

Work Environment: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.):
  • Long periods of time working on a computer and performing repetitive key-boarding activities.

Physical Demands: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.):
  • While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to sit. The employee is occasionally required to stand and walk. The employee may be required to occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus.

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