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Ai Coder Jobs in Texas (NOW HIRING)

Crunchyroll, LLC

Senior AI Engineer

Dallas, TX · Hybrid

$103K - $142K/yr

You will build production software, direct AI coding agents, review AI-generated work, improve delivery practices, and help turn what works into reusable patterns for future Enterprise Technology ...

TEKsystems

Coder

Dallas, TX · Remote

$25 - $28/hr

Description Coding surgeries directly use PMD Pull up auto note and fill out work 13-15 cases an ... AI tools.

Crunchyroll, LLC

Staff AI Engineer

Dallas, TX · Hybrid

You will build production software, direct AI coding agents, review AI-generated work, improve delivery practices, and help turn what works into reusable patterns for future Enterprise Technology ...

New

Crunchyroll, LLC

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps. * Review and own AI-generated code, tests, pull requests, and migrations for ...

Crunchyroll, LLC

Staff AI Engineer

Dallas, TX · On-site

Direct AI coding agents by writing clear specs, acceptance criteria, implementation plans, and verification steps. * Review and own AI-generated code, tests, pull requests, and migrations for ...

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Lead the integration and application of Generative AI coding assistants throughout the System Development Life Cycle, from implementation and refactoring to unit testing, regression support, code ...

ForeFlight

Principal AI Engineer

Austin, TX · On-site +1

$208K - $255K/yr

Evaluate, prototype, and operationalize AI coding agents and AI-native developer tooling * Drive adoption of tools and workflows that materially improve developer productivity, software quality, and ...

IntraEdge

AI-Augmented Full Stack Engineer

Austin, TX · On-site

Write clean, modular, maintainable, and well-tested code. Apply strong computer science ... AI-Augmented Development Use GenAI tools to accelerate software delivery across the SDLC. Leverage ...

IntraEdge

AI-Augmented Full Stack Engineer

Austin, TX · On-site

Write clean, modular, maintainable, and well-tested code. Apply strong computer science ... AI-Augmented Development Use GenAI tools to accelerate software delivery across the SDLC. Leverage ...

TMS

AI-Augmented Full Stack Engineer

Austin, TX · On-site

Write clean, modular, maintainable, and well-tested code. Apply strong computer science ... AI-Augmented Development: Use GenAI tools to accelerate software delivery across the SDLC. Leverage ...

Aalo Atomics

AI Platform Architect

Austin, TX · On-site

AI coding agents, agent harnesses, orchestration frameworks, and shared tooling * Observability, evaluation, telemetry, security controls, and feedback systems What you'll do * Maintain, evolve, and ...

The Friedkin Group

Full Stack AI Engineer

Houston, TX · On-site

You leverage AI coding tools (Claude Code, Codex, Augment Code, etc.) to accelerate delivery and maintain a high pace of iteration without sacrificing quality. As a Full Stack AI Engineer you will:

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Ai Coder information

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How much do ai coder jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for ai coder in Texas is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $32.26 per hour, depending on experience, location, and employer.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing a degree in computer science, data science, or related fields and working on AI projects or certifications can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized research organizations.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

Are AI coders in demand?

AI coders are in high demand due to the growing adoption of artificial intelligence across industries. Skills in machine learning, deep learning, and programming languages like Python are particularly valuable, and job opportunities are expected to increase as AI technology advances.

How much do AI coders make?

AI coders, also known as artificial intelligence software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior AI developers with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or companies with advanced AI projects.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an AI Coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.
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What cities in Texas are hiring for Ai Coder jobs? Cities in Texas with the most Ai Coder job openings:
Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Texas as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $53,274 per year, or $25.6 per hour.

Full Stack AI Engineer

Computer Visionaries AI

Dallas, TX • On-site

Full-time

Posted 6 days ago

Job description

Full Stack AI Engeineer Who We Are

Computer Visionaries (CV.AI) is a Dallas-based AI software development firm on a mission to unlock AI for our clients. We help businesses across healthcare, financial services, logistics, legal, and other industries move beyond off-the-shelf SaaS platforms and into custom solutions built specifically for how they operate. Our approach combines full-stack engineering with agentic AI and intelligent automation to deliver systems that create lasting competitive advantage.

Our teams are small, collaborative, and technically sharp. We value engineers who write clean, maintainable code, who are comfortable working alongside AI agents as part of their daily workflow, and who take pride in shipping work that holds up in production. If you want to build real products for real businesses at the intersection of modern software engineering and agentic AI, we'd like to hear from you.

Role Overview

The Full Stack AI Engineer is responsible for designing, building, and maintaining web applications and backend services that power CV.AI's client engagements. You will work across the stack, from React and TypeScript frontends to Python and Node.js APIs, relational databases, vector stores, and cloud infrastructure. You will also use AI agents and spec-driven development practices as part of your daily workflow to ship high-quality code at speed.

This role contributes directly to CV.AI's agenda of unlocking AI for our clients. You will participate in sprint ceremonies, present technical progress, and collaborate with client stakeholders to refine requirements. You will work in small pods alongside senior engineers and engagement leads, with meaningful ownership of features and deliverables from day one.

To meet our client's requirements, this role is only open to U.S. Citizens and permanent residents. Offer for employment may be contingent on a background check.

Key Responsibilities
  • Incorporate AI into, build, and evolve full-stack web applications using modern frontend frameworks (React, Next.js, or similar) and backend services (Node.js, Python, or Java)
  • Design and implement RESTful APIs and service integrations that connect to client enterprise systems, databases, and third-party platforms
  • Use spec-driven development and test-driven development practices, incorporating AI agents into your workflow to produce reliable, well-documented code
  • Evaluate and review agent-produced code for quality, security, and alignment with project requirements before it ships
  • Collaborate with UI/UX designers to translate wireframes and design specs into responsive, accessible interfaces
  • Configure and maintain CI/CD pipelines for automated testing, builds, and deployments
  • Participate in code reviews, providing constructive feedback and maintaining team code quality standards
  • Contribute to technical documentation, architecture decision records, and deployment runbooks
  • Communicate progress, blockers, and technical decisions clearly in client-facing sprint ceremonies and status updates
Required Qualifications
  • 35 years of professional software engineering experience in full-stack or backend-heavy roles
  • Proficiency with at least one modern frontend framework: React, Vue, Angular, or Next.js
  • Strong backend experience with Node.js, Python (Django/Flask/FastAPI), or Java (Spring Boot)
  • Solid understanding of relational databases (PostgreSQL, MySQL, SQL Server) and experience writing efficient queries
  • Experience designing and consuming RESTful APIs in a microservices or service-oriented architecture
  • Experience using AI coding agents or assistants (such as Cursor, Copilot, Claude Code, or similar) as part of a development workflow
  • Familiarity with spec-driven or test-driven development practices
  • Familiarity with Git-based version control workflows including branching strategies, pull requests, and code review
  • Experience with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps
  • Strong written and verbal communication skills, with comfort presenting to non-technical stakeholders
  • Able to work on a hybrid schedule from our Dallas offices in the Galleria / Addison area
  • Must be a U.S. citizen or permanent resident
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or GCP, including deployment and infrastructure configuration
  • Familiarity with containerization tools (Docker, Kubernetes) and infrastructure-as-code practices
  • Experience with vector databases (Pinecone, Weaviate, pgvector, or Chroma) in production environments
  • Exposure to agentic frameworks such as LangChain, LlamaIndex, CrewAI, or Model Context Protocol (MCP)
  • Hands-on experience with computer vision libraries or frameworks (OpenCV, TensorFlow, or similar)
  • Familiarity with LLM APIs (Anthropic Claude, OpenAI, or equivalent) and prompt engineering patterns
  • Prior work in a consulting, agency, or client-embedded delivery model
  • Experience in regulated or compliance-sensitive environments (FedRAMP, SOC 2, HIPAA)
  • Familiarity with performance monitoring and observability tools (Datadog, New Relic, Grafana)
Technical Skills
  • Languages: JavaScript/TypeScript, Python, HTML/CSS; Java or Go a plus
  • Frontend: React, Next.js, Tailwind CSS, responsive and accessible UI development
  • Backend: Node.js, Express, FastAPI, Django, or Spring Boot
  • Databases: PostgreSQL, MySQL, Redis; vector stores (Pinecone, Weaviate, pgvector)
  • DevOps: Git, CI/CD pipelines, Docker, cloud deployment (AWS/Azure/GCP)
  • Testing: Jest, pytest, Cypress, or equivalent; unit, integration, and end-to-end testing practices
  • APIs: RESTful design, authentication patterns (OAuth, JWT), versioning, and documentation
  • AI Tooling: Coding agents, spec-driven development workflows, agent output evaluation
Why CV.AI
  • Contribute to CV.AI's mission of unlocking AI for clients across a diverse range of industries
  • Small, high-impact teams where your contributions are visible and valued from day one
  • Hybrid work from our offices near the shops and restaurants of the Galleria and Addison, not a windowless cube farm
  • Work with modern agentic development tools and practices as a natural part of your engineering workflow
  • A culture that values clean code, honest communication, and continuous learning
  • Competitive W2 compensation with a firm that invests in long-term relationships with its engineers