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Full Stack Ai Engineer Jobs in Remote, OR (NOW HIRING)

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AI Engineer

OR · Remote

You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). Responsibilities * Design, develop, and deploy AI-powered ...

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AI Engineer

OR · Remote

You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). Responsibilities * Design, develop, and deploy AI-powered ...

As a Forward Deployed AI Engineer, you will work directly alongside customers to understand how ... Familiarity with the fraud and communication platforms' technology stack * Startup experience or ...

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and ...

AI Agent ML Engineer

OR · On-site

$165K - $190K/yr

... full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the ... The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

... full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the ... The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced ...

Senior Lead DevOps Engineer

OR · Remote

$121K - $156K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Familiar with the whole web stack, including protocols and web server optimization techniques.

Adobe CDP Engineer

OR · Remote

$105K - $141K/yr

Lumen is the trusted network for AI. We're transforming how businesses connect, secure, and scale ... Experience integrating Adobe stack with other enterprise platforms (Salesforce, DemandBase ...

Senior Front End Engineer - Avaya Infinity Platform

OR · On-site +1

$114K - $158K/yr

... AI-assisted development tools thoughtfully - using them to accelerate delivery while applying engineering judgment to the output Our Current Stack React 18/19, TypeScript, Redux Toolkit / RTK Query ...

... AI-assisted development tools thoughtfully - using them to accelerate delivery while applying engineering judgment to the output Our Current Stack React 18/19, TypeScript, Redux Toolkit / RTK Query ...

Sr. Data Analytics Engineer

OR · On-site

$107K - $128K/yr

Responsible for the full life cycle of development, from requirements gathering through data ... stack to ensure performance, process, access is optimal for the global reporting solution. * 2 ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Responsible for the full life cycle of development, from requirements gathering through data ... stack to ensure performance, process, access is optimal for the global reporting solution. * 2 ...

... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ... The full salary range for certain locations is listed below. For locations not listed below, the ...

Senior Software Engineer, Backend

Roseburg, OR · On-site +1

$165K - $241K/yr

... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ... The full salary range for certain locations is listed below. For locations not listed below, the ...

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... TensorFlow Developer Certification. Additional Information Work Environment * Full remote ...

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Showing results 1-20

Full Stack Ai Engineer information

See Remote, OR salary details

$44.5K

$134.6K

$190.3K

How much do full stack ai engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for full stack ai engineer in Remote, OR is $134,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $157,800.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Remote, OR? For Full Stack Ai Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Remote, OR look for? The top searched job categories for Full Stack Ai Engineer jobs in Remote, OR are:
What cities near Remote, OR are hiring for Full Stack Ai Engineer jobs? Cities near Remote, OR with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Remote, OR as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $134,638 per year, or $64.7 per hour.

AI Engineer

Sara Software Systems

OR • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

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Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.