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Google Ai Jobs in Remote, OR (NOW HIRING)

Sara Software Systems

AI Engineer

OR · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Sara Software Systems

AI Engineer

OR · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Stillfront

Freelance Game Balancer (fully remote)

OR · On-site +1

Build expected progression models in Excel or Google Sheets to predict how players move through the game * Use AI tools heavily in your daily work to boost your own output and keep the player ...

SOSi

Senior Data Scientist

OR · On-site

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... Desirable but not required certifications include Google Professional Machine Learning Engineer ...

SOSi

Senior Data Scientist

OR · On-site +1

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... Desirable but not required certifications include Google Professional Machine Learning Engineer ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... Desirable but not required certifications include Google Professional Machine Learning Engineer ...

Lumen Technologies

Principal Architect

OR · Remote

  • Medical

  • Life

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Google Professional Cloud Architect Preferred Certifications * TOGAF 9/10, Certified Kubernetes ...

Atos

NETWORK ENGINEER

OR

  • Medical

  • Dental

  • Vision

  • Retirement

... AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Atos

NETWORK ENGINEER

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Lumen Technologies

Senior Lead Monetization Manager

OR · On-site

$105K - $141K/yr

  • Medical

  • Life

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... EDP, Google Commit) * Partner with Legal to develop marketplace T&Cs, EULAs, and private-offer ...

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Google Ai information

What are the key skills and qualifications needed to thrive in the Google AI position?

To excel in a Google AI role, you typically need a strong background in computer science, mathematics, or a related field, as well as expertise in machine learning, data analysis, and programming languages such as Python or C++. Experience with technical tools like TensorFlow, PyTorch, cloud computing platforms, and a portfolio of relevant projects or research is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work collaboratively in cross-functional teams are crucial soft skills. These competencies enable innovation, efficient teamwork, and the successful implementation of advanced AI solutions at scale.

What is a Google AI?

A Google AI job involves working on artificial intelligence research, development, and deployment within Google's AI teams. Roles include machine learning engineers, research scientists, and AI product managers, focusing on innovations in deep learning, natural language processing, and computer vision. Employees work on projects like Google Search, Assistant, and generative AI models. Strong expertise in AI, programming, and data science is typically required.

How to get a job in Google AI?

To get a job in Google AI, candidates should have a strong background in computer science, machine learning, or related fields, along with experience in programming languages like Python or TensorFlow. Building a portfolio of relevant projects, obtaining advanced degrees, and staying updated on AI research can improve chances. Applying through Google's careers portal and preparing for technical interviews are essential steps.

What does a Google AI do?

In a Google AI role, your daily activities often include designing and developing new machine learning models, analyzing large datasets, and collaborating with fellow researchers and engineers to deploy scalable solutions. You may participate in brainstorming sessions, code reviews, and meetings to align on project goals and milestones. The environment is fast-paced yet highly collaborative, with ample opportunities to publish research, contribute to open-source projects, or mentor junior team members. This role offers ongoing learning and professional growth, as Google supports continuous education and engagement with cutting-edge AI advancements.

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Google Ai jobs near you
Infographic showing various Google Ai job openings in Remote, OR as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 51% In-person, and 49% Remote job distribution.

AI Engineer

Sara Software Systems

OR • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

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.