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Remote Saas Engineer Jobs (NOW HIRING)

Huzzle

AI Engineer - Remote

Our clients include startups, digital agencies, and tech platforms in industries such as SaaS ... You will work closely with product, engineering, and data teams to design intelligent systems ...

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Remote Saas Engineer information

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$38K

$115.9K

$191.5K

How much do remote saas engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote saas engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a remote SaaS engineer?

A Remote SaaS Engineer is a software engineer who specializes in developing, maintaining, and optimizing Software as a Service (SaaS) applications while working from a remote location. This role typically involves building scalable cloud-based software solutions, collaborating with distributed teams, and ensuring the security and reliability of web-based applications. Remote SaaS Engineers use various programming languages and cloud platforms to deliver high-quality software, often communicating and managing tasks through online tools. Their responsibilities may also include troubleshooting issues, deploying updates, and monitoring application performance. Working remotely allows them to contribute to projects from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote SaaS engineer?

To thrive as a Remote SaaS Engineer, you need expertise in software development, cloud computing, and SaaS architecture, usually supported by a computer science degree or relevant experience. Proficiency with cloud platforms (like AWS, Azure, or Google Cloud), CI/CD pipelines, and source control systems such as Git is essential, and certifications like AWS Certified Solutions Architect are often valued. Strong communication, self-motivation, and effective collaboration in distributed teams are critical soft skills for remote work. These abilities ensure successful product development, reliable cloud solutions, and seamless teamwork, all vital for delivering high-quality SaaS products from a remote setting.

How does a remote SaaS engineer typically collaborate with cross-functional teams while working remotely?

As a Remote SaaS Engineer, collaboration is primarily achieved through digital communication tools such as Slack, Jira, and video conferencing platforms. You will frequently participate in virtual stand-ups, sprint planning, and code reviews with product managers, designers, and other engineers. Clear written communication and proactive updates are essential to ensure alignment and progress. While the role offers flexibility, it also requires strong self-management and the ability to coordinate across time zones to maintain smooth workflow and project delivery.
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Remote Saas Engineer jobs near you
Infographic showing various Remote Saas Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

AI Engineer - Remote

Huzzle

Remote

Full-time

Re-posted 27 days ago

Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.
This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.
Key Responsibilities
  • Design, build, and deploy AI/ML models for real-world applications.
  • Develop and optimize AI-powered features using modern frameworks and APIs.
  • Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives.
  • Build AI pipelines for data processing, training, inference, and monitoring.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Integrate AI services into web applications, SaaS platforms, and internal tools.
  • Fine-tune and evaluate machine learning models for performance and scalability.
  • Maintain documentation and ensure AI systems follow security and compliance best practices.
  • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements
  • 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
  • Experience working with LLMs, generative AI, prompt engineering, or AI agents.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
  • Understanding of APIs, microservices, and backend development.
  • Experience with Docker, Git, and CI/CD workflows.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work remotely with global teams.
  • Bachelor's degree in Computer Science, AI, Data Science, or related field preferred.
  • Experience with AI automation tools and agent frameworks.
  • Knowledge of MLOps and model monitoring tools.
  • Familiarity with NLP, computer vision, or recommendation systems.
  • Experience building AI SaaS products or chatbots.
  • Exposure to FastAPI, Node.js, or React-based applications.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team

Apply