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Remote Insurance Software Developer Jobs in Arkansas

Motorola

Senior DevOps Engineer (US REMOTE)

Little Rock, AR · Remote

$140K - $170K/yr

Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ... AND 5+ years of software engineering/development experience * AND 2+ year of Kubernetes and Docker ...

Redolent, Inc

Data Engineer

Bentonville, AR · On-site +1

$100K - $120K/yr

Data Engineer LOCATION: Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required ... software development or related. 2. 5+ years of solid hands on experience in coding, designing and ...

Walmart

(USA) Staff, Software Engineer

Bentonville, AR · On-site +1

Drive the adoption of agileengineering practices and DevOps methodologies across the team for ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

ABB

SAP Developer

Fort Smith, AR · On-site +1

Flexibility - remote-friendly role with some travel (only 1-2 weeks per month). Your role and ... Bachelor's or Master's degree in Information Management, Computer Engineering, Software Engineering ...

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Remote Insurance Software Developer information

What is the difference between Remote Insurance Software Developer vs Remote Insurance Systems Analyst?

AspectRemote Insurance Software DeveloperRemote Insurance Systems Analyst
Required CredentialsBachelor's in CS or related field, coding certificationsBachelor's in IT, Business, or related field, certifications in systems analysis
Work EnvironmentDeveloping and coding insurance software remotelyAnalyzing and improving insurance systems remotely
Employer & Industry UsageInsurance tech companies, insurers, brokersInsurance companies, consulting firms, tech providers
Common Search & ComparisonYesYes

Remote Insurance Software Developers focus on coding and building insurance software solutions, while Remote Insurance Systems Analysts analyze existing systems to improve efficiency. Both roles often work remotely, require related certifications, and are used across insurance and tech industries. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

What is a Remote Insurance Software Developer?

A Remote Insurance Software Developer is a professional who designs, builds, tests, and maintains software solutions specifically for the insurance industry while working from a remote location. They often collaborate with insurance companies to create applications for policy management, claims processing, risk assessment, and customer service. Their work ensures that insurance processes are efficient, secure, and user-friendly, leveraging technologies such as cloud computing, APIs, and data analytics. Remote developers use various communication and project management tools to stay connected with their teams and clients.

What are the key skills and qualifications needed to thrive as a Remote Insurance Software Developer, and why are they important?

A Remote Insurance Software Developer needs strong programming skills in languages like Java, C#, or Python, a solid understanding of software development life cycles, and experience in insurance or financial services applications. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and insurance-specific systems like Guidewire or Duck Creek, along with relevant certifications, is often required. Outstanding communication, self-motivation, and problem-solving abilities are essential for effective collaboration and project delivery in a remote environment. These skills ensure the development of reliable, secure, and compliant software solutions tailored to the insurance industry's unique needs.

How do Remote Insurance Software Developers typically collaborate with cross-functional teams given the virtual work environment?

Remote Insurance Software Developers frequently collaborate with product managers, business analysts, and QA specialists using virtual tools like Slack, Jira, and video conferencing platforms. Daily stand-ups and sprint planning sessions are held online to ensure alignment on project goals and timelines. Clear documentation and proactive communication are essential to bridge any gaps caused by physical distance. This collaborative approach helps developers stay integrated with broader project teams, fosters knowledge sharing, and ensures that software solutions accurately address insurance industry requirements.
What are popular job titles related to Remote Insurance Software Developer jobs in Arkansas? For Remote Insurance Software Developer jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Software Developer jobs in Arkansas look for? The top searched job categories for Remote Insurance Software Developer jobs in Arkansas are:
Remote Insurance Software Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Conway, AR • Remote

Full-time

Posted 12 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