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Staff Software Engineer Remote Jobs in Arkansas (NOW HIRING)

iOS Engineer -Remote

Fort Smith, AR ยท Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

$166K - $191K/yr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

iOS Engineer -Remote

Fayetteville, AR ยท Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Showing results 21-40

Staff Software Engineer Remote information

See Arkansas salary details

$50K

$133.3K

$181.9K

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

As of Aug 6, 2026, the average yearly pay for staff software engineer remote in Arkansas is $133,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $157,500.00 per year, depending on experience, location, and employer.

How does a staff software engineer collaborate with cross-functional teams in a remote environment?

As a Staff Software Engineer working remotely, you'll frequently collaborate with product managers, designers, QA engineers, and other software engineers through virtual meetings, shared documentation, and collaboration tools like Slack or Jira. Effective communication and clear documentation are essential to align on project goals, technical decisions, and timelines. You'll also mentor junior team members and often participate in architectural reviews, ensuring that distributed teams remain cohesive and productive despite working from different locations.

What is a staff software engineer remote?

A Staff Software Engineer (Remote) is a senior-level software engineer who works primarily from a location outside of the main office, often from home or another remote setting. This role typically involves leading technical projects, mentoring junior engineers, making architectural decisions, and collaborating with cross-functional teams to deliver high-quality software solutions. Staff Software Engineers are expected to have extensive experience in software development, strong problem-solving skills, and the ability to work independently as well as part of a distributed team. Remote staff engineers also leverage digital communication and collaboration tools to stay connected and productive.

What are the key skills and qualifications needed to thrive as a staff software engineer remote, and why are they important?

To thrive as a Staff Software Engineer (Remote), you need advanced programming skills, deep architectural knowledge, and significant experience in software development, often backed by a bachelor's or master's degree in computer science or a related field. Expertise with programming languages like Java, Python, or Go, familiarity with cloud platforms (AWS, Azure, GCP), and proficiency in version control systems (e.g., Git) are typically required. Outstanding communication, leadership, and problem-solving abilities help you mentor teams and drive complex projects to completion. These skills ensure you can design robust systems, guide engineering teams remotely, and deliver scalable solutions in a distributed work environment.

What is the difference between Staff Software Engineer Remote vs Staff Software Engineer on-site?

AspectStaff Software Engineer RemoteStaff Software Engineer on-site
Work EnvironmentWorks remotely, often from home or co-working spacesWorks at company office location
Required CredentialsTypically requires similar technical skills and experience as on-site roles, including advanced software development expertiseSame credential requirements as remote roles, focusing on software engineering proficiency
Industry UsageCommon in tech companies supporting remote work policiesTraditional in many industries with physical office presence
Search & Comparison IntentOften searched by candidates seeking flexible work optionsOften searched by those preferring or needing on-site work

Both remote and on-site Staff Software Engineer roles require advanced technical skills and experience. The main difference lies in the work environment, with remote roles offering flexibility to work from anywhere, while on-site roles require physical presence at the company's location. Employers in tech industries increasingly support remote work, making both options viable for experienced software engineers.

What cities in Arkansas are hiring for Staff Software Engineer Remote jobs? Cities in Arkansas with the most Staff Software Engineer Remote job openings:
Infographic showing various Staff Software Engineer Remote job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $133,254 per year, or $64.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Little Rock, AR โ€ข 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.