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Weekend Remote Software Engineering Manager Jobs in Tucson, AZ

Spara Technologies

Sr. Software Engineer (Remote)

Tucson, AZ · Remote

$125.40K - $165.30K/yr

About Spara Technologies Spara Technologies delivers advanced engineering, staffing, and mission ... As part of the TEE software team , you'll design and implement robust Windows-based applications ...

Navstar

Mid-Level Backend Software Engineer

Tucson, AZ · Remote

$105K - $125K/yr

Yes, 10% of the time Remote: No Ennoble First is your place. You make it your own by embracing ... Bachelor's degree in Computer Science, Software Engineering, or a related field with 4-8 years of ...

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IBM

Senior Software Engineer - Confluent Cloud Traffic

Tucson, AZ · On-site +1

$118.10K - $155.80K/yr

... managing the networking fabric of Confluent Cloud. Cloud networking is a strategic investment area ... A Strong networking background combined with your software engineering experience IBM is committed ...

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Weekend Remote Software Engineering Manager information

See Tucson, AZ salary details

$94.1K

$160.1K

$189.6K

How much do weekend remote software engineering manager jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend remote software engineering manager in Tucson, AZ is $160,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $163,600.00 and $163,600.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Remote Software Engineering Manager vs Weekend Remote Software Developer?

AspectWeekend Remote Software Engineering ManagerWeekend Remote Software Developer
Required CredentialsBachelor's in CS or related field, management experience, leadership skillsBachelor's in CS or related field, coding skills, technical knowledge
Work EnvironmentRemote, overseeing teams, project managementRemote, focused on coding and development tasks
Industry UsageCommon in tech companies, startups, and enterprisesWidespread across tech, startups, and freelance markets

The Weekend Remote Software Engineering Manager focuses on leading teams, project planning, and strategic oversight, requiring management experience. In contrast, the Weekend Remote Software Developer concentrates on coding and technical tasks, with less emphasis on leadership. Both roles are remote and often part-time, but their core responsibilities differ significantly.

What job categories do people searching Weekend Remote Software Engineering Manager jobs in Tucson, AZ look for? The top searched job categories for Weekend Remote Software Engineering Manager jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Weekend Remote Software Engineering Manager jobs? Cities near Tucson, AZ with the most Weekend Remote Software Engineering Manager job openings:
Weekend Remote Software Engineering Manager jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tucson, AZ • Remote

Other

Posted 5 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