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Remote Ngo Software Engineer Jobs in Portland, OR

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Senior Security Engineer

Vancouver, WA · Remote

$119K - $164K/yr

Senior Security Engineer Remote, United States About this position: We\'re looking for a Senior ... This role blends deep security expertise with strong software engineering skills, with a focus on ...

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All JobsNgo Software Engineer JobsRemote Ngo Software Engineer JobsRemote Ngo Software Engineer Jobs in Portland, OR

Remote Ngo Software Engineer information

See Portland, OR salary details

$67.3K

$156.4K

$217.9K

How much do remote ngo software engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote ngo software engineer in Portland, OR is $156,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $183,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote NGO software engineer?

To thrive as a Remote NGO Software Engineer, you need strong programming skills, experience with software development lifecycles, and a relevant degree in computer science or a related field. Familiarity with collaboration tools like Git, project management systems such as Jira, and cloud platforms is commonly required, along with knowledge of non-profit-focused tech stacks. Excellent communication, self-motivation, and problem-solving skills help you excel in remote and cross-cultural team environments. These abilities ensure you can deliver effective technology solutions that support NGO missions and operate efficiently in distributed settings.

What is the difference between Remote Ngo Software Engineer vs Remote Nonprofit Software Developer?

AspectRemote Ngo Software EngineerRemote Nonprofit Software Developer
CredentialsRelevant coding certifications, nonprofit sector experienceSame as above, often with nonprofit-specific knowledge
Work EnvironmentRemote, nonprofit organizations, tech teamsRemote, nonprofit sector projects
Employer & IndustryNonprofit organizations, NGOsNonprofit organizations, NGOs
Search & Comparison IntentUnderstanding roles in nonprofit tech projectsSimilar, focusing on nonprofit sector software roles

The main difference between a Remote Ngo Software Engineer and a Remote Nonprofit Software Developer lies in terminology and specific job focus. Both roles typically require similar technical skills and work in nonprofit environments. The term "Ngo" emphasizes the organizational type, while "Nonprofit" is more commonly used in job searches. Both roles aim to develop software solutions for nonprofit organizations, making their core responsibilities quite similar.

What are some unique challenges faced by remote NGO software engineers, and how can they be addressed?

Remote NGO software engineers often work with teams spread across different time zones and may encounter limited resources or infrastructure compared to corporate settings. Effective communication and proactive collaboration are essential to ensure project alignment and timely delivery. Additionally, understanding the specific needs and constraints of NGOs, such as budget restrictions and compliance requirements, helps engineers create impactful, sustainable solutions. Regular check-ins, clear documentation, and utilizing project management tools can help overcome these challenges and foster a productive remote work environment.

What is a remote NGO software engineer?

Remote NGO Software Engineers are technology professionals who design, develop, and maintain software solutions for non-governmental organizations (NGOs) while working from a remote location. Their work supports NGO missions by creating tools such as websites, databases, mobile apps, and data analysis platforms that help manage projects, track impact, and improve communication. By working remotely, they can collaborate with international teams and contribute to global causes without being tied to a specific office location. This role often requires both technical expertise and an understanding of the unique needs and constraints of the non-profit sector.
What are the most commonly searched types of Ngo Software Engineer jobs in Portland, OR? The most popular types of Ngo Software Engineer jobs in Portland, OR are:
What are popular job titles related to Remote Ngo Software Engineer jobs in Portland, OR? For Remote Ngo Software Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Ngo Software Engineer jobs in Portland, OR look for? The top searched job categories for Remote Ngo Software Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Ngo Software Engineer jobs? Cities near Portland, OR with the most Remote Ngo Software Engineer job openings:
Remote Ngo Software Engineer jobs near you
Infographic showing various Remote Ngo Software Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $156,450 per year, or $75.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Gresham, OR • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply