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Computer Vision Engineer Jobs in Frisco, TX (NOW HIRING)

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

IT America Inc

ML Engineer

Plano, TX · On-site

Background in NLP, computer vision, or other advanced AI techniques. * Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud). Required qualifications: * Strong programming skills in ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Frisco, TX

Computer Vision Engineer information

See Frisco, TX salary details

$45.4K

$113.7K

$128.7K

How much do computer vision engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for computer vision engineer in Frisco, TX is $113,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $123,100.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
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What cities near Frisco, TX are hiring for Computer Vision Engineer jobs? Cities near Frisco, TX with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Frisco, TX as of June 2026, with employment types broken down into 46% Full Time, 51% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $113,731 per year, or $54.7 per hour.

Full Stack AI Engineer

Computer Visionaries AI

Dallas, TX • On-site

Full-time

Posted 25 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