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Ai Startup Jobs in Texas (NOW HIRING)

Motion Recruitment

Senior Guardrail Engineer

Dallas, TX · On-site

$103K - $142K/yr

The Opportunity A fast-growing, venture-backed AI startup is building autonomous AI systems that help businesses automate complex work. With strong early customer traction and recent funding, the ...

HumanSignal

Marketing Intern

Austin, TX · Hybrid

$20 - $25/hr

About the Role You'll join a small marketing team at a fast-moving AI startup where you'll be exposed to a broad range of marketing disciplines and have autonomy to get things done. One day you're ...

THOMSON REUTERS

Engineering Manager, Materia AI

Frisco, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This team was formed from Thomson Reuters' acquisition of the AI startup Materia and combines the agility of a startup with the resources of a global leader. You'll manage a team of engineers ...

Giga AI Inc

Enterprise Sales Director

Dallas, TX · On-site

$150/day

  • Medical

  • Dental

  • Vision

  • Retirement

Voice AI startup Giga raises $61M Series A * DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with ...

THOMSON REUTERS

Engineering Manager, Materia AI

Frisco, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This team was formed from Thomson Reuters' acquisition of the AI startup Materia and combines the agility of a startup with the resources of a global leader. You'll manage a team of engineers ...

Giga AI Inc

Regional Vice President of Sales

Dallas, TX · On-site

$150/day

  • Medical

  • Dental

  • Vision

  • Retirement

Voice AI startup Giga raises $61M Series A * DoorDash and Giga Partnership Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with ...

AutoHDR

Customer Retention Manager

Austin, TX · On-site +1

Customer Success Representative AutoHDR is the fastest growing AI startup in real estate media. We train custom image editing models for real estate, and are currently editing 25% of all US real ...

Madrona Venture Labs

Senior Fullstack Engineer

Austin, TX · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Opportunity to build foundational platform technology at a fast‑growing AI startup * Direct impact on product architecture and technical direction * Competitive salary with uncapped commission and ...

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Ai Startup information

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How much do ai startup jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai startup in Texas is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $51.97 per hour, depending on experience, location, and employer.

What is an AI startup?

An AI Startup job involves working at a company focused on developing artificial intelligence technologies, products, or services. Roles can vary widely, including engineering, data science, product management, and business development. Employees in AI startups often work in fast-paced environments, solving complex problems with cutting-edge AI models and tools. These roles typically require adaptability, technical expertise, and a willingness to innovate quickly.

What does the typical day-to-day work look like at an AI startup?

At an AI startup, your days are often fast-paced and varied, involving tasks like brainstorming new product features, coding algorithms, reviewing data sets, meeting with cross-functional teams, and testing proofs of concept. Team members frequently collaborate across roles—engineers, data scientists, and even product managers may work closely together in a flat structure. You can expect to rapidly prototype and iterate on ideas, directly impacting the company's growth and direction. This dynamic environment is ideal for those who enjoy hands-on innovation and learning in a close-knit, high-energy team.

What are the key skills and qualifications needed to thrive in the AI startup position, and why are they important?

Succeeding in an AI startup requires strong programming skills, knowledge of machine learning principles, and a background in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, cloud platforms like AWS or Google Cloud, and, in some cases, relevant certifications can be highly advantageous. Adaptability, creative problem-solving, and effective teamwork distinguish exceptional contributors in these dynamic environments. These skills ensure that you can quickly develop innovative solutions and pivot as the startup evolves.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming, and data analysis, often through degrees in computer science, data science, or related fields. Gain experience with machine learning frameworks like TensorFlow or PyTorch, and work on projects or internships to build practical skills. Continuous learning through online courses, certifications, and staying updated with industry research is also essential.

What are the most commonly searched types of Ai Startup jobs in Texas?

The most popular types of Ai Startup jobs in Texas are:

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

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

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

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

What cities in Texas are hiring for Ai Startup jobs?

Cities in Texas with the most Ai Startup job openings:

Ai Startup jobs near you
Infographic showing various Ai Startup job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $95,310 per year, or $45.8 per hour.

Forward Deployed AI Engineer

Everest Technologies

Dallas, TX • On-site

Other

Posted 5 days ago

Job description

As a Forward Deployed AI Engineer, you will sit at the intersection of AI engineering, product strategy, and client delivery. Working closely with enterprise partners and clients, you will own the end-to-end strategy, architecture, and deployment of production-grade Generative AI workflows to address high-stakes real-world challenges.

This role operates much like a hands-on AI startup technical leader—taking concepts from problem decomposition and prototyping all the way to robust, scalable field deployment.

Core Responsibilities

  • Solution Architecture & Delivery: Build, optimize, and deploy end-to-end LLM workflows, data processing pipelines, and advanced analytics tools into production.

  • Client & Business Strategy: Partner directly with technical and non-technical stakeholders to translate complex operational challenges into actionable AI implementations.

  • Product Feedback Loop: Capture field insights and user feedback to inform and refine internal core AI product platforms and tooling.

  • Iterative Problem Solving: Work in agile, cross-functional teams to rapidly prototype, validate, and scale AI solutions in dynamic client environments.

Key Qualifications

  • Gen AI & LLM Experience: Proven track record of building and deploying solutions utilizing Large Language Models (LLMs) and modern Generative AI frameworks.

  • Machine Learning Fundamentals: Solid grounding in ML core concepts, including evaluation methodologies, model training/fine-tuning, and problem decomposition.

  • Software Engineering Proficiency: Strong coding skills in modern programming languages (e.g., Python, TypeScript/JavaScript, Java, or C++).

  • Engineering Background: Bachelor’s or Master’s degree (or equivalent practical experience) in Computer Science, Software Engineering, Mathematics, Physics, Machine Learning, or a related technical field.

  • Business & Communication Skills: Ability to solve business-oriented problems rather than academic benchmarks, with strong communication skills for client-facing collaboration.

  • Willingness to Travel: Ability and willingness to travel to client sites as needed (up to 25%).

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