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Full Stack Ai Engineer Jobs in Dallas, TX (NOW HIRING)

ClifyX

Java Full stack Engineer

Irving, TX · On-site

They are seeking a Full-Stack AI Engineer to design, develop, and deploy intelligent solutions, while driving engineering excellence and collaborating within an agile team. Responsibilities : • ...

Citigroup, Inc.

Lead AI Engineer

Irving, TX · On-site

$156K - $234K/yr

Full-Stack AI Engineering: 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:

TiltEdge Solutions LLC

AI Full Stack Engineer

Plano, TX · On-site

$95K - $105K/yr

AI Full Stack Engineer Work Location: Plano, TX Duration: Fulltime/Direct Hire * Design and build scalable, high-performance web applications using React and modern JavaScript. * Develop backend ...

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Full Stack Ai Engineer information

See Dallas, TX salary details

$44K

$133.3K

$188.4K

How much do full stack ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full stack ai engineer in Dallas, TX is $133,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $156,300.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Dallas, TX? For Full Stack Ai Engineer jobs in Dallas, TX, the most frequently searched job titles are:
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,319 per year, or $64.1 per hour.

Full Stack AI Engineer

Computer Visionaries AI

Dallas, TX • On-site

Full-time

Re-posted 28 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