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Remote Ai Engineer Jobs (NOW HIRING)

Senior AI Engineer - Remote

Dallas, TX · On-site +1

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

Lead AI Engineer

$104K - $138K/yr

Remote Full-Time Role Overview: As an AI Engineer at you will design, build, and deploy production-grade AI and machine learning solutions that solve complex business problems for global clients. You ...

You will make an impact The Principal AI Engineer is primarily responsible for the design ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

New

The AI Engineer will support the International Trade Administration (ITA) Artificial Intelligence ... Work Location Remote work is preferred, with occasional on-site support in Washington, DC, as ...

You will make an impact The Principal AI Engineer is primarily responsible for the design ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

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Remote Ai Engineer information

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$25

$53

$76

How much do remote ai engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

More about Remote Ai Engineer jobs
What cities are hiring for Remote Ai Engineer jobs? Cities with the most Remote Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Remote Ai Engineer jobs? States with the most job openings for Remote Ai Engineer jobs include:
Infographic showing various Remote Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Applied AI Engineer, Work From Home

Applied AI Engineer, Work From Home

Next Step Systems

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago


Job description

Job Description

Applied AI Engineer, Work From Home

We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows.  The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.  We have multiple openings for this position.  This position is 100% Remote.

Applied AI Engineer Responsibilities:

- Build AI-powered product features integrated into real insurance workflows.

- Design and optimize LLM-based interactions across customer and internal systems.

- Develop prompts, reasoning flows, and structured AI outputs for production use cases.

- Evaluate model performance using real-world data, feedback loops, and experiments.

- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.

- Design and implement AI-driven automation features (chat, recommendations, decision support).

- Analyze user behavior and model responses to continuously improve AI performance.

- Collaborate with product, design, and engineering teams to ship end-to-end AI features.

- Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer Outcomes

- AI features are reliable, consistent, and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable, testable, and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications

Applied AI Engineer Qualifications:

- Strong software engineering background in production environments.

- Experience working with LLMs (OpenAI, Anthropic, or open-source models).

- Familiarity with prompt engineering, structured outputs, and tool use patterns.

- Experience building or integrating AI features into real products.

- Strong understanding of API-based system integration.

- Ability to evaluate AI outputs critically using data and user feedback.

- Experience with experimentation, A/B testing, or evaluation frameworks.

- Strong product sense and focus on user experience.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Applied AI Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Applied AI Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.nextstepsystems.com.