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Remote Ai Engineer Salary In Jobs in Texas (NOW HIRING)

De Circle

Etherialize - Applied AI Engineer

Austin, TX · On-site +1

We all know that software engineering is getting turned on its head. It's easy to pop open Claude ... remote environments. This role is likely not a fit if you are primarily interested in: * Pure AI ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

We are seeking a Lead Software Engineer to design, build, and scale next-generation agentic AI ... In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive ...

UnitedHealth Group

Lead AI Engineer- Remote

Richardson, TX · On-site +1

$93K - $122K/yr

We are seeking a Lead Software Engineer to design, build, and scale next-generation agentic AI ... In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive ...

Celersoft

AWS and Gen AI Engineer

Houston, TX · Remote

$109K - $131K/yr

AWS Generative AI Engineer Location: 100% Remote Role: AWS GenAI Engineer - Intelligent Document ... Store raw, intermediate, and curated data in appropriate AWS storage and analytics platforms.

Booz Allen Hamilton, Inc.

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

... engineer, you know that AI systems are critical to understanding and processing massive datasets in ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

YO AI Labs

AI Software Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Experience working in government, regulated, or security-sensitive cloud environments

YO AI Labs

AI Software Engineer - Remote

Houston, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

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Remote Ai Engineer Salary In information

What is the difference between Remote Ai Engineer Salary In vs Data Scientist?

RoleAverage Salary RangeRequired CredentialsWork Environment
Remote Ai Engineer$80,000 - $140,000Bachelor's or higher in CS, AI, or related fields; experience with ML frameworksRemote, tech companies, startups
Data Scientist$75,000 - $135,000Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis toolsRemote, finance, tech, healthcare industries

Both roles require strong technical credentials and often similar work environments, but salaries for Remote Ai Engineers tend to be slightly higher due to specialized AI development skills. Understanding these differences can help job seekers target the right roles and salary expectations.

Can you work remotely as a remote AI engineer?

Yes, many AI engineering roles are available as remote positions, especially those focused on software development, data analysis, and machine learning model deployment. Remote AI engineers typically need strong programming skills in languages like Python, experience with cloud platforms, and effective communication tools to collaborate with teams. Availability of remote work depends on the employer and specific job requirements.

How much do remote AI engineers make?

Remote AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch may command higher salaries. Compensation can also include benefits such as bonuses, stock options, and flexible schedules.

Is a remote AI engineer a high paying job?

Remote AI engineers typically earn high salaries due to the specialized skills required in machine learning, deep learning, and programming with tools like Python and TensorFlow. Compensation varies based on experience, location, and company, but generally, AI engineering is considered a well-paying role in the tech industry.

What are the most commonly searched types of Ai Engineer Salary In jobs in Texas?

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What are popular job titles related to Remote Ai Engineer Salary In jobs in Texas?

For Remote Ai Engineer Salary In jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Ai Engineer Salary In jobs in Texas look for?

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Remote Ai Engineer Salary In jobs near you
Infographic showing various Remote Ai Engineer Salary In job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution.

Etherialize - Applied AI Engineer

De Circle

Austin, TX • On-site, Remote

Full-time

Re-posted 16 days ago

Job description

We all know that software engineering is getting turned on its head.
It's easy to pop open Claude Code and ask for help with small or repetitive tasks. But as the potential of these tools expand, questions emerge:
  • How do we build the infrastructure and workflows to make the most of new advancements?
  • How do we share context across the team to make these tools even more capable?
  • And, most importantly, how do we keep code quality to the standard needed to support institutional finance, while staying close to the cutting edge?

This is where you come in.
We're looking for an exceptional Applied AI Engineer to join our engineering team. You'll be responsible for solving the problem: What does it look like for a team building mission critical software to use AI to its maximum potential?
You'll work side-by-side with our engineers in Austin, building the tools and processes to keep us at the cutting edge, and using those tools to contribute to real production code.
What Will You Do?
Your mission is to level up the entire organization's impact and output by embedding AI deeply into how we engineer, operate, and make decisions.
You will:
  • Accelerate engineering velocity with AI: The frontier of AI development is moving fast, but the frontier of applying these advances to mission critical systems lags far behind. Your job is to solve for what this looks like today, and continually reassess the right balance as the tools improve.
  • Contribute meaningful production code: This is a real engineering role. You won't know the bar we need to hit if you aren't capable of delivering it yourself. You'll contribute directly to our core product and use AI to amplify your own impact, ensuring the workflows you build actually work in production.
  • Help shape AI functionality in our flagship product: Partner closely with product and engineering to ideate, prototype, and structure AI-powered product features.
  • Systematize AI usage across the team: Help identify and implement high-leverage AI use cases across the company and evolve our team from "everyone uses AI" to "everyone is effectively managing a team of AIs," with consistent quality, guardrails, and workflows.
  • Stay ahead of what's coming: Constantly experiment with new models, tools, and workflows, and exercise strong judgment about what's worth adopting for our company. Be the go-to person others learn from when it comes to AI, and share learnings so adoption actually sticks across the team.

What's In It For You?
  • Career-defining scope. You'll help define how teams building mission critical systems work with AI. We'll likely release our systems, thinking, and open source code publicly, and you'll be at the forefront of these breakthroughs.
  • Nerd out all day. While many engineers have to save their AI rabbit-holing for nights and weekends, it'll be the core of your day to day. Your job is literally to experiment, learn and develop the coolest things you can think of.
  • Work with an exceptional team. Work closely with Zach Obront (CTO), Danny Ryan (President), and engineers from Goldman Sachs, Circle, Bloomberg, Kraken, NEBRA, and more.

You are a strong engineer first, and deeply obsessed with what AI makes possible. These past few months have likely been some of the most exciting of your career, filled with late nights experimenting with new ideas.
You are likely:
  • A senior or mid-senior engineer who has already shipped and owned meaningful systems in production, with strong system-design instincts.
  • Obsessed with how AI is evolving software engineering. You code every day, and your family may be starting to worry whether you like Claude more than them.
  • Solutions-driven and personable - you take pride in being the go-to person who unblocks others, not just in what you personally build.
  • Gleefully curious about optimization, efficiency, and what engineering teams will look like years into the future.
  • Comfortable operating in ambiguity and grounding big ideas in production reality.
  • Likely contributing open-source work, side projects, or public experimentation with AI productivity tools because you just can't help yourself.
  • You treat your AI infrastructure as a production system to be engineered. You're deploying custom agent configs, CI/CD, or orchestration layers to manage agents across remote environments.

This role is likely not a fit if you are primarily interested in:
  • Pure AI research or model training. This role is focused on applying existing models and tools to real engineering workflows, not developing or training new models from scratch.
  • Short-term or advisory-only work. We're looking for someone who wants to embed deeply with the team and own outcomes over time, rather than designing frameworks and handing them off.
  • Automation disconnected from production engineering. The best ideas here are grounded in real code, real systems, and real constraints. You'll be expected to contribute production-quality code alongside building AI-enabled workflows.
  • Leading a team. This is an individual contributor role focused on building systems and workflows hands-on. While the AI team may grow over time, the expectation is that, for the foreseeable future, you'll be leading a team of AI agents, not people.
  • Working fully remotely. This role is designed to be highly embedded and collaborative. We spend 3 days per week together in the Austin office.

Apply