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Weekend Remote Software Engineering Manager Jobs in Kansas

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent ... NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management ...

WellSky

Staff Software Engineer

Overland Park, KS · On-site +1

The Staff Software Engineer is responsible for all stages of the software development lifecycle ... Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ...

Tenstorrent

$100K - $500K/yr

This role is remote or hybrid in the North America or Australia. We welcome candidates at various ... Experience with Git, release management, and branching methodologies. What You Will Learn * How ...

WellSky

Staff Software Engineer

Overland Park, KS · On-site +1

The Staff Software Engineer is responsible for all stages of the software development lifecycle ... Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ...

Sterling Engineering Inc.

Civil Engineer

Overland Park, KS · On-site +1

$100K - $130K/yr

Remote or Hybrid (if located near an office) Hire Type: Direct Hire Base Salary : $100,000 - $130 ... management skills. Software: * Civil 3D * AutoCAD * Engineering design tools, software, and ...

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Weekend Remote Software Engineering Manager information

How to make $70,000 a year from home?

A Weekend Remote Software Engineering Manager can earn $70,000 annually by leveraging their technical skills, leadership abilities, and remote work experience. This typically involves working part-time or flexible hours, often requiring strong project management, coding, and communication skills, along with experience in remote collaboration tools. Achieving this income may also depend on the company's pay structure and the manager's level of responsibility.

What engineer makes $500,000 a year?

Senior software engineers, especially those in specialized fields like machine learning, data engineering, or with extensive experience at large tech companies, can earn $500,000 or more annually. These roles often require advanced skills, leadership responsibilities, and sometimes stock options or bonuses as part of total compensation.

Can engineering managers work remotely?

Engineering managers can work remotely, especially in technology companies that support flexible work arrangements. Remote management requires strong communication skills and familiarity with collaboration tools like Slack or Jira to oversee teams effectively from a distance.

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.

Can I make 200k a year as a software engineer?

As a Weekend Remote Software Engineering Manager, earning $200,000 annually is achievable with extensive experience, advanced technical skills, and leadership responsibilities. Salaries vary based on industry, company size, location, and individual expertise, with senior and managerial roles often reaching or exceeding this level. Remote positions can also offer competitive compensation depending on the employer and market demand.
What are popular job titles related to Weekend Remote Software Engineering Manager jobs in Kansas? For Weekend Remote Software Engineering Manager jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Software Engineering Manager jobs in Kansas look for? The top searched job categories for Weekend Remote Software Engineering Manager jobs in Kansas are:
Weekend Remote Software Engineering Manager jobs near you
Infographic showing various Weekend Remote Software Engineering Manager job openings in Kansas as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 48% Physical, 2% Hybrid, and 50% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, KS • Remote

Full-time

Posted 11 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