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Ai Frontend Developer Jobs in Texas (NOW HIRING)

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

Front End Developer - North Carolina, NC

Dallas, TX · On-site

$102K - $119K/yr

We are looking for a Senior Front End Developer. In this role, you will architect resilient ... Experience working with AI for day to day development, copilot is a plus, and agentic AI is a plus.

... AI tooling used in practice every day. As a Senior Frontend Engineer, you will build the web ... improve developer productivity, code quality, and delivery speed. * Experience in e-commerce ...

Senior Frontend Engineer - Layla AI

Austin, TX · On-site

$121K - $167K/yr

... AI tooling used in practice every day. As a Senior Frontend Engineer, you will build the web ... improve developer productivity, code quality, and delivery speed. * Experience in e-commerce ...

About the Opportunity: We're looking for a Senior Frontend Engineer - AI Platform to join the Seekr ... need a seasoned developer who can jump in, contribute high-quality code, and offer smart ...

Front End Engineer

Westlake, TX · On-site

$60 - $65/hr

On-site in Westlake, TX Our client seeks a front-end engineer to build accessible, performant user ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

Senior Frontend Engineer - AI Platform

Austin, TX · On-site

$121K - $167K/yr

About the Opportunity: We're looking for a Senior Frontend Engineer - AI Platform to join the Seekr ... Strong collaborative skills, working well with back-end and DevOps engineers to create APIs and ...

Front End Engineer- Senior Associate

Dallas, TX · On-site

$121K - $166K/yr

They are seeking a Front End Engineer to join their Audit Technology Alliance organization, responsible for developing high-quality user interfaces for generative AI applications and collaborating ...

About Circuit Circuit is the AI execution layer for the physical economy. Industrial and ... A track record of improving code quality, developer experience, or frontend practices through ...

Showing results 21-40

Ai Frontend Developer information

What is the difference between Ai Frontend Developer vs Machine Learning Engineer?

AspectAi Frontend DeveloperMachine Learning Engineer
CredentialsBachelor's in CS, Web Development skillsBachelor's/Master's in CS, Data Science or ML specialization
Work EnvironmentWeb development teams, UI/UX focusData science teams, algorithm development
Industry UsageAI-powered web apps, interactive interfacesAI models, data pipelines, predictive systems
Search & Comparison IntentFocus on frontend AI integrationFocus on AI model development

While both roles involve AI, an Ai Frontend Developer specializes in integrating AI features into web interfaces, whereas a Machine Learning Engineer focuses on developing and deploying AI models and algorithms. The roles often collaborate but differ in technical focus and work environment.

What cities in Texas are hiring for Ai Frontend Developer jobs?

Cities in Texas with the most Ai Frontend Developer job openings:

Infographic showing various Ai Frontend Developer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Frontend Developer - Remote

YO AI Labs

Houston, TX • Remote

$80 - $120/hr

Full-time

Posted 10 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.