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Software Engineer Ai Remote Jobs (NOW HIRING)

Your Role We're looking for a Software Engineer with deep expertise in LLM prompting, orchestration ... Remote (all team members are remote but we meet regularly and you're supported to travel to ...

$133K - $178.30K/yr

You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance ... About the role As a Principal Software Engineer (PSE), AI Solutions, you will play a senior, hands ...

$133K - $178.30K/yr

You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance ... About the role As a Principal Software Engineer (PSE), AI Solutions, you will play a senior, hands ...

... AI systems with real applications and impact - not just prototypes. We don't have QA teams, dedicated designers, or product managers. We believe the best software is built by engineers who are ...

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Software Engineer Ai Remote information

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$63.5K

$147.5K

$205.5K

How much do software engineer ai remote jobs pay per year?

As of May 30, 2026, the average yearly pay for software engineer ai remote in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Software Engineer AI (Remote), and why are they important?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

How does a remote Software Engineer specializing in AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a Software Engineer AI (Remote) do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

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

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

More about Software Engineer Ai Remote jobs
What cities are hiring for Software Engineer Ai Remote jobs? Cities with the most Software Engineer Ai Remote job openings:
What states have the most Software Engineer Ai Remote jobs? States with the most job openings for Software Engineer Ai Remote jobs include:

Software Engineer - AI Systems

Xbow Careers

Remote

$100K - $350K/yr

Full-time

Posted 11 days ago


Job description

About XBOW
Build the future of offensive security with XBOW. Attackers are already using AI to move faster than defenders can react-we're creating the platform that puts security ahead in the arms race. Our AI-powered system autonomously discovers, validates, and even exploits vulnerabilities, giving organizations proof-backed results in hours instead of weeks.
Founded by Oege de Moor, creator of GitHub Copilot, and backed by Sequoia, Altimeter, and other leading investors, XBOW is applying cutting-edge AI to one of the world's most urgent problems. In just over a year, our AI, built by a world-class AI team and legendary security researchers - has uncovered thousands of real-world zero-days across the software billions rely on, and achieved the #1 ranking on HackerOne's global leaderboard.
We're a team of builders, hackers, and researchers who thrive on solving problems others think are impossible. If you want to push the boundaries of AI, reshape how security is done, and join the group defining this new era of defense - we'd love to talk.
Your Role
We're looking for a Software Engineer with deep expertise in LLM prompting, orchestration, and software engineering. In this role, you'll design and implement systems that coordinate large language models with real-world tasks, advancing the intelligence at the heart of our platform. You'll collaborate with our AI, Engineering and Security teams to create novel prompting strategies, build orchestration layers, and deliver production-ready systems in TypeScript.
This role is for someone who thrives in a fast-moving, research-driven environment and enjoys turning ambiguous ideas into robust, scalable solutions.
What You'll Do
  • Build LLM-powered software that actually works, by designing prompt flows and orchestrations that ensures great performance with no false positives.
  • Architect and build an AI-powered software stack that is production-grade, testable and maintainable.
  • Design and build experiments and evaluation frameworks for performance testing of the system at scale. Conduct data analysis to draw conclusions.
  • Collaborate with the rest of the AI team, with security experts, and both frontend and backend developers to create end-to-end systems that work and customers love.
  • Own projects end-to-end: from basic ideation and experimentation to deployment and production monitoring.
  • Continuously conduct research on how to harness the advancements in LLMs to make our system better and faster.

Who You Are
  • Strong experience with building software around LLMs: prompting, agentic orchestration, fault-tolerance, and integration of LLM parts with hard-coded logic.
  • Strong software engineering skills: architecting and building production-grade software that runs reliably and can be maintained.
  • Experience with TypeScript or proven ability to learn a new programming language quickly.
  • Strong skills in structured and independently-driven problem-solving. Able to work with incomplete information and rapidly testing hypotheses.
  • Comfortable with an energetic environment that mixes the fast-paced agile prioritisation of a startup with the curiosity mentality of a research lab.
  • Eager to own projects and jump into the deep end, learning as you go. Curious, adaptable and collaborative.
  • MSc or equivalent or higher in computer science, math, physics or machine learning.

Bonus If You Have
  • Prior experience with the security sector, especially involving offensive security and/or applying LLMs in a security context.
  • Contributions to open-source software, particularly within applications of or frameworks for LLMs.
  • Strong theoretical background, e.g. a Ph.D in machine learning, computer science or math.
  • Startup experience and comfort with ambiguity.

What We Offer
  • Compensation & Equity: Competitive salary and a generous equity package, making you a true owner of the company.
  • Career Growth: Shape your role, lead the function, and grow with the company as we redefine cybersecurity.
  • Meaningful Work: You will tackle technically complex challenges and play a pivotal role in the growth of our business, working alongside an amazing team and some of the world's experts to shape how AI transforms cybersecurity.

What Else You Should Know
  • Location: Remote (all team members are remote but we meet regularly and you're supported to travel to collaborate with colleagues in person)
  • Contract: Full-time.
  • Hiring Process:
    1. 45-min introductory chat with our Talent team.
    2. 45 minutes with one of our Engineering Leads.
    3. 2-3 hour technical deep dive around relevant case study.
    4. 30-min final meeting with the Engineering Lead for the assigned team.

We aren't focused on seniority titles at XBOW-so if you're worried about "leveling," don't be. We care a lot more about mission fit, capability, and impact than what's on your LinkedIn headline.
We believe in people who are driven by curiosity and a willingness to learn. Even if you don't check every box, we encourage you to apply if you're excited about the role and our mission.