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Remote Software Support Engineer Jobs in Oklahoma

SmartLight Analytics

Software QA Analyst II

Tulsa, OK · Remote

In this role, you will test deliverables from multiple engineering teams, document results, and ... Write and optimize SQL queries for validating data, troubleshooting issues, and supporting test ...

Hangar Worldwide

Software Architect

Blair, OK · On-site +1

Act as a support to the Technical Consultants/ Director * Training/Grooming of software developers and technical leads. * Accountable for the quality of the overall technical deliveries. * Review and ...

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Remote Software Support Engineer information

What does a Remote Software Support Engineer do?

A Remote Software Support Engineer assists clients or users with troubleshooting and resolving software issues from a remote location. They diagnose technical problems, provide guidance via email, chat, or phone, and may also help with software installation and updates. In addition to technical expertise, they need strong communication skills to explain solutions clearly. Their work ensures that users can efficiently use software products and minimizes downtime for businesses.

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

To thrive as a Remote Software Support Engineer, you need a solid understanding of software troubleshooting, networking principles, and customer service, often backed by a degree in computer science or related field. Familiarity with ticketing systems (like Zendesk or Jira), remote desktop tools, and certifications such as CompTIA A+ or ITIL are commonly required. Excellent problem-solving, clear communication, and self-motivation are crucial soft skills for addressing user concerns and working independently. These abilities ensure efficient support delivery, high customer satisfaction, and effective resolution of technical issues in a remote environment.

What are some common challenges faced by Remote Software Support Engineers and how can they be addressed?

Remote Software Support Engineers often encounter challenges such as troubleshooting complex technical issues without physical access to client systems, managing communication across different time zones, and maintaining clear, effective collaboration with both users and internal teams. To address these, it's helpful to develop strong written communication skills, become proficient with remote diagnostic tools, and establish a structured workflow for tracking and resolving support tickets. Actively participating in regular virtual team meetings and leveraging documentation can also greatly improve problem-solving efficiency and team cohesion.
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Remote Software Support Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lawton, OK • On-site

Other

Posted yesterday

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