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Ai Coder Jobs in Dallas, TX (NOW HIRING)

Purplejack Technologies LLC

AI Architect

Irving, TX · On-site

Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools) ? Java/Spring Boot ? Python ? Distributed systems ? APIs and integration services ? Cloud-native platforms ? Software architecture ...

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

Medical 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 ...

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 ...

Salesforce, Inc.

AI GTM Developer

Dallas, TX · On-site

$55 - $72.75/hr

Use AI-native development tools, including Claude Code, as a core part of your daily development workflow. * Rapidly prototype new applications and products, gather feedback, and iterate into ...

Citigroup, Inc.

Lead AI Engineer

Irving, TX · On-site

$156K - $234K/yr

Build and deliver production-grade, full-stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot). * Rapid Value Delivery: Champion MVP-driven delivery ...

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All JobsAi Coder JobsAi Coder Jobs in Dallas, TX

Ai Coder information

See Dallas, TX salary details

$15

$27

$43

How much do ai coder jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for ai coder in Dallas, TX is $27.20, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $34.23 per hour, depending on experience, location, and employer.

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 is an AI coder?

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.

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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Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Dallas, TX as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $56,566 per year, or $27.2 per hour.

AI Architect

Purplejack Technologies LLC

Irving, TX • On-site

Other

Posted 9 days ago

Job description


Required Education (Precise) ? Bachelor?s degree in Computer Science, Software Engineering, or related field (minimum) o Master?s + 3 years o Bachelor?s + 5+ years o Associate?s + 9 years ? Internships not accepted as experience Preferred Education ? Master?s degree in Computer Science or Software Engineering (preferred) Preferred Certification ? TOGAF certification (nice-to-have) Required Skills ? Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools) ? Java/Spring Boot ? Python ? Distributed systems ? APIs and integration services ? Cloud-native platforms ? Software architecture and engineering best practices ? Prompt engineering ? Agentic development workflows ? Engineering metrics and productivity measurement ? Infrastructure and cloud ? Docker, containers, Kubernetes ? IT security, server/storage ? Security standards ? DevOps Technical ? Desired ? Specification-driven development ? Robotics, Physical AI, Simulation, or Digital Twin ? AWS or Azure ? Developer experience platforms

Requirements
Disqualifiers (Red Flags) ? No hands-on backend development ? Limited API, integration, or distributed systems experience ? Front-end only experience ? No Agile/Scrum experience ? Cannot contribute to cloud-native service development or troubleshooting Key Responsibilities ? Identify cloud capabilities and benchmark industry adaptation ? Assess Kubernetes fit ? Review ICS/ACT technologies (Remote Services, Minestar) ? Challenge solutions and drive alternative architecture options ? Partner with GIS, Security, and other teams on solution design ? Evaluate and benchmark AI coding platforms ? Define AI best practices, standards, governance, and adoption frameworks ? Identify and execute AI pilot initiatives (Atlas, Physical AI, enterprise) ? Design agentic, spec-driven, and autonomous development workflows ? Measure developer productivity, quality, SDLC efficiency, and outcomes ? Create reference architectures, implementation patterns, and guidance for AI-native development ? Integrate AI into development lifecycle with architects, managers, product, and platform teams ? Assess security, compliance, and governance for AI coding tools ? Mentor teams on AI tools and modern engineering practices ? Drive velocity, quality, technical debt reduction, and developer experience improvements ? Collaborate with vendors, partners, and stakeholders on emerging capabilities and best practices ? Contribute to engineering strategy, roadmap, technology selection, and long-term AI transformation ? Individual contributor ? Collaborate with: Engineering Directors, Managers, Principal Engineers, Architects, Technical Leads ? Work across: Atlas, Physical AI, Autonomy Services, enterprise engineering ? Partner with: Product Owners, Product Managers, business stakeholders ? Partner with: DevOps, Platform Engineering, Cybersecurity, Enterprise Architecture ? Engage with vendors and AI platform providers ? Lead workshops, architecture discussions, PoCs, enablement activities ? Mentor engineers and technical leads ? Present recommendations, findings, pilot results, roadmaps to senior leadership

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