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Twitter Software Engineer Remote Jobs in Oklahoma

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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All JobsTwitter Software Engineer JobsTwitter Software Engineer Remote JobsTwitter Software Engineer Remote Jobs in Oklahoma

Twitter Software Engineer Remote information

What is the difference between Twitter Software Engineer Remote vs Twitter Data Engineer Remote?

AspectTwitter Software Engineer RemoteTwitter Data Engineer Remote
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, Data Science, or related, strong SQL and data skills
Work EnvironmentCollaborative software development teams, remote codingData pipelines, analytics, remote data management
Employer & Industry UsageCommon in tech companies, software developmentCommon in data-driven roles, analytics teams
Search & Comparison IntentUnderstanding software engineering roles at TwitterUnderstanding data engineering roles at Twitter

The main difference between Twitter Software Engineer Remote and Twitter Data Engineer Remote lies in their focus areas. Software Engineers primarily develop and maintain software applications, while Data Engineers focus on building data pipelines and managing large datasets. Both roles require technical skills and are integral to Twitter's tech infrastructure, but they serve different functions within the company's ecosystem.

What are the most commonly searched types of Twitter Software Engineer jobs in Oklahoma?

The most popular types of Twitter Software Engineer jobs in Oklahoma are:

What are popular job titles related to Twitter Software Engineer Remote jobs in Oklahoma?

For Twitter Software Engineer Remote jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Twitter Software Engineer Remote jobs in Oklahoma look for?

The top searched job categories for Twitter Software Engineer Remote jobs in Oklahoma are:

What cities in Oklahoma are hiring for Twitter Software Engineer Remote jobs?

Cities in Oklahoma with the most Twitter Software Engineer Remote job openings:

Twitter Software Engineer Remote jobs near you
Infographic showing various Twitter Software Engineer Remote job openings in Oklahoma as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lawton, OK • Remote

Full-time

Re-posted 13 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