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Amazon Software Engineer Remote Jobs in Utah (NOW HIRING)

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

Job Summary The Senior Staff Software Engineer - Agentic AI will design and deliver core agent ... Amazon Web Services (AWS) * Datadog * OpenAI * Grafana * Graph Databases * Large Language Models ...

eNett

Software Engineering Manager

Salt Lake City, UT · Remote

$150K - $190K/yr

Software Engineering Manager Remote, Full-Time About the Team/Role WEX FSM (formerly Payzerware), is an end-to-end Field Service Management platform that helps contractors run their business, grow ...

WEX

Software Engineering Manager

Salt Lake City, UT · Remote

$150K - $190K/yr

Software Engineering Manager Remote, Full-Time About the Team/Role WEX FSM (formerly Payzerware), is an end-to-end Field Service Management platform that helps contractors run their business, grow ...

Bolo AI

Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote) | Full-Time Senior Engineer The Role Has Changed Three person engineering teams are building what ...

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Amazon Software Engineer Remote information

What does an Amazon software engineer do when working remotely?

An Amazon Software Engineer working remotely designs, develops, tests, and maintains software solutions that power Amazon’s products and services. They collaborate with team members using online tools, participate in virtual meetings, and follow Agile development practices. The role involves solving complex technical problems, writing high-quality code, and ensuring scalability and reliability of software systems—all from a remote location. Communication and self-motivation are key to succeeding in this remote position.

What are the key skills and qualifications needed to thrive as an Amazon software engineer remote?

To thrive as an Amazon Software Engineer (Remote), you need strong programming skills (often in Java, C++, or Python), a solid understanding of computer science fundamentals, and typically a bachelor's degree in computer science or related field. Familiarity with AWS services, version control systems like Git, and CI/CD tools such as Jenkins is commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote work environments. These skills ensure you can deliver high-quality software solutions, collaborate effectively across distributed teams, and adapt to Amazon's fast-paced, innovative culture.

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

Remote Amazon Software Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with globally distributed teams, and ensuring effective collaboration on large-scale projects. To address these challenges, Amazon fosters a culture of documentation, regular virtual meetings, and utilizes tools like Amazon Chime and internal wikis to keep everyone connected. Proactively reaching out to teammates, setting clear expectations, and participating in virtual team-building activities can also help remote engineers stay engaged and aligned with their teams.

What is the difference between Amazon Software Engineer Remote vs Amazon Software Developer Remote?

AspectAmazon Software Engineer RemoteAmazon Software Developer Remote
Required CredentialsBachelor's in CS or related field, coding skills, Amazon interview processBachelor's in CS or related field, coding skills, Amazon interview process
Work EnvironmentRemote, collaborative teams, Agile methodologyRemote, collaborative teams, Agile methodology
Employer & Industry UsageAmazon, tech/software industryAmazon, tech/software industry
Search & Comparison IntentHigh overlap in job duties and requirementsHigh overlap in job duties and requirements

Amazon Software Engineer Remote and Amazon Software Developer Remote roles share similar qualifications, work environments, and industry usage. The main difference lies in job titles used internally and externally, but both involve software development tasks within Amazon's remote teams.

What are the most commonly searched types of Amazon Software Engineer jobs in Utah?

The most popular types of Amazon Software Engineer jobs in Utah are:

What are popular job titles related to Amazon Software Engineer Remote jobs in Utah?

For Amazon Software Engineer Remote jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Amazon Software Engineer Remote jobs in Utah look for?

The top searched job categories for Amazon Software Engineer Remote jobs in Utah are:

What cities in Utah are hiring for Amazon Software Engineer Remote jobs?

Cities in Utah with the most Amazon Software Engineer Remote job openings:

Amazon Software Engineer Remote jobs near you
Infographic showing various Amazon Software Engineer Remote job openings in Utah as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Ogden, UT • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 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