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Saas Ai Developer Jobs (NOW HIRING)

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force's 5,000-aircraft ... We're hiring an Explainable AI Engineer to build, verify, and validate business impact predictions ...

SolGenie

Senior Full Stack AI Developer

San Jose, CA · On-site

Senior Full Stack AI Developer (React/Next.js + Python + LLM) Location: Santa Clara, CA (Onsite ... Strong understanding of multi-tenant SaaS architecture , Row-Level Security (RLS) , and application ...

Unissant

AI Developer Engineer

Ashburn, VA · Remote

We are seeking an AI Developer/Engineer to join our team and support our client, the Federal ... SaaS environments. Essential Duties and Responsibilities:Design, develop, and productionize RAG ...

WinTrio LLC

$40.25 - $53/hr

Develop reusable AI engineering patterns across cloud and SaaS environments. * Support onboarding and refactoring of externally developed AI applications into enterprise AI environments. * Develop ...

Unissant

AI Developer Engineer

Ashburn, VA · On-site

We are seeking an AI Developer/Engineer to join our team and support our client, the Federal ... and CRM/SaaS environments. Essential Duties and Responsibilities: * Design, develop, and ...

UNISSANT

AI Developer Engineer

Ashburn, VA · Remote

We are seeking an AI Developer/Engineer to join our team and support our client, the Federal ... and CRM/SaaS environments. Essential Duties and Responsibilities: * Design, develop, and ...

Capital One Group

$161K - $184K/yr

Senior AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and ... Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters ...

New

D-Wave Quantum

Senior AI DevOps Developer [584]

Working alongside talented DevOps engineers and Product Development teams, you will help build and ... SaaS/PaaS environments * Hands-on experience building and supporting production AI applications ...

Bluefish AI

Senior Customer AI Engineer

New York, NY · On-site

$60.50 - $78/hr

Minimum of 5+ years of experience in a Technical Account Manager, Solutions Engineer, Customer Engineer, or similar client-facing technical role, ideally in SaaS, AI, or marketing technology.

Bluefish AI

Senior Customer AI Engineer

New York, NY · On-site +1

$60.50 - $78/hr

Minimum of 5+ years of experience in a Technical Account Manager, Solutions Engineer, Customer Engineer, or similar client-facing technical role, ideally in SaaS, AI, or marketing technology.

C3 AI

Vice President, Marketing

Redwood City, CA · On-site

Expand the C3 AI developer community through targeted technical content and developer relations ... growth SaaS, AI, or public technology company. * Track record of stepping into an existing ...

C3 AI

Vice President, Marketing

Redwood City, CA

Expand the C3 AI developer community through targeted technical content and developer relations ... growth SaaS, AI, or public technology company. * Track record of stepping into an existing ...

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Saas Ai Developer information

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How much do saas ai developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for saas ai developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a SaaS AI developer?

A SaaS AI Developer is a software engineer who specializes in building, deploying, and maintaining artificial intelligence solutions within Software as a Service (SaaS) platforms. They combine knowledge of cloud-based software delivery with expertise in AI and machine learning algorithms. Their work involves integrating AI capabilities such as predictive analytics, natural language processing, or computer vision into scalable web applications. SaaS AI Developers often collaborate with data scientists, product managers, and cloud engineers to deliver intelligent features to users via the internet.

What are the key skills and qualifications needed to thrive as a SaaS AI developer?

To thrive as a SaaS AI Developer, you need strong programming skills in languages such as Python or JavaScript, a solid understanding of machine learning principles, and experience with cloud-based architectures. Familiarity with platforms like AWS, GCP, or Azure, as well as proficiency in ML frameworks like TensorFlow or PyTorch, is typically required. Creative problem-solving, effective teamwork, and clear communication are standout soft skills in this role. These competencies are crucial for building scalable, innovative AI solutions that integrate seamlessly into SaaS products and meet dynamic client needs.

What are some common challenges SaaS AI developers face when integrating AI solutions into existing cloud platforms?

SaaS AI Developers often encounter challenges such as ensuring seamless integration of AI models with existing cloud architectures, maintaining data security and privacy, and optimizing model performance for scalability. Balancing the computational demands of AI algorithms with the cost and efficiency constraints of a SaaS environment can also be complex. Additionally, developers must coordinate closely with DevOps, product management, and data engineering teams to align AI functionalities with customer needs and platform capabilities.

What are popular job titles related to Saas Ai Developer jobs?

For Saas Ai Developer jobs, the most frequently searched job titles are:

Senior Manager, AI Engineer - Gen AI Platform Services, Agentic AI, Guardrails, Evaluation

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 8 days ago

Job description

  • Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Oversee design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
  • Make build-vs-buy decisions across open-source and SaaS AI technologies
  • Invent and introduce LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems
  • Contribute to the technical vision and long-term roadmap of foundational AI systems
  • Attract and retain AI talent and nurture the personal and professional development of the team
  • Foster a culture of learning and staying abreast of the state of the art in AI
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in those fields plus at least 4 years of experience
  • At least 1 year of people leadership experience
  • 3 years of experience managing and leading an engineering team (preferred)
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred)
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang (preferred)
  • Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production (preferred)
  • Excellent communication and presentation skills (preferred)
  • Capital One will consider sponsoring a new qualified applicant for employment authorization
Core Competencies

Demonstrates expertise in developing and deploying AI and ML algorithms, with a strong focus on scalability, cost optimization, and team leadership. Proven ability to foster a culture of innovation and continuous learning in AI technologies.

Highest-signal resume keywords
  • AI And ML Algorithm Development
  • People Leadership Experience
  • Cloud Platform Deployment
  • Python Programming
  • LLM Optimization Techniques
Hard Skills
  • AI Software Development
  • Machine Learning Algorithms
  • Foundation Model Training
  • LLM Inference
  • Similarity Search
  • Model Evaluation
  • Experimentation
  • Governance
  • Observability
  • Scalable AI Solutions
Soft Skills
  • Excellent Communication Skills
  • Team Development
  • Collaboration
  • Presentation Skills
  • Culture of Learning
Industry Keywords
  • AI-Powered Products
  • Technical Vision
  • Long-Term Roadmap
  • Build-Vs-Buy Decisions
Tools & Technologies
  • Open-Source AI Technologies
  • SaaS AI Technologies
  • Cloud Platforms
  • AI Research Techniques
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