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Embedded Ai Engineer Jobs in Texas (NOW HIRING)

Computer Visionaries AI

Full Stack AI Engineer

Dallas, TX · On-site

$95 - $130/hr

Our approach combines full-stack engineering with agentic AI and intelligent automation to deliver ... Prior work in a consulting, agency, or client-embedded delivery model * Experience in regulated or ...

LifeScience Logistics LLC.

AI Engineer

Dallas, TX · On-site

$120 - $180/hr

... embedded in PDFs, DOCX, or CSV files uploaded through Claude Desktop. * Build and maintain internal ... software engineering or applied AI experience, with at least 1 year focused on LLM prompt ...

Lifescience-Logistics

AI Engineer

Dallas, TX · On-site

$120 - $180/hr

... embedded in PDFs, DOCX, or CSV files uploaded through Claude Desktop. * Build and maintain internal ... software engineering or applied AI experience, with at least 1 year focused on LLM prompt ...

LPL Financial

AVP, IAM AI Engineer

Austin, TX · On-site

You will be embedded in new AI application development from the earliest design stages, ensuring ... Partner with engineering and data science teams on all new AI application development, ensuring ...

Hireblazer

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

The role will be embedded within the Traffic Technology team with the goal to develop AI/ML for ... The AI engineer will work across teams such as Traffic Technology, ITD AI team, and TRF to gather ...

ICEYE

$102.76 - $159.85/hr

Role: Forward Deployed AI Engineer * Department: Forward Deployed Engineering * Location: Greece ... Work embedded with intelligence analysts, data scientists, and military operators to understand ...

Hop

Staff Engineer, Agentic Models

Dallas, TX · On-site

Hop is a global semiconductor company seeking a Staff Engineer focused on agentic models for their ... edge and embedded AI, staying ahead of the curve and championing next-gen applications.

HILTI

Applied AI Engineer

Plano, TX · On-site

$99K - $134K/yr

Actively participate in requirements engineering, including defining, analyzing, evaluating ... Drive continuous improvement in how AI is embedded into operational and development activities ...

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Showing results 21-40

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Texas

Embedded Ai Engineer information

See Texas salary details

$65.2K

$142.9K

$162.1K

How much do embedded ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for embedded ai engineer in Texas is $142,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Texas?

For Embedded Ai Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Texas look for?

The top searched job categories for Embedded Ai Engineer jobs in Texas are:

What cities in Texas are hiring for Embedded Ai Engineer jobs?

Cities in Texas with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer 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, with an average salary of $142,900 per year, or $68.7 per hour.

Full Stack AI Engineer

Computer Visionaries AI

Dallas, TX • On-site

Full-time

Re-posted 14 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