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Aviation Software Engineer Remote Jobs in Kansas

Harris

MACC, a division of Harris; is seeking a System Analyst/Software Developer who has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

MACC, a division of Harris; is seeking a System Analyst/Software Developer who has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Confluent

Senior Software Engineer II

Topeka, KS · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K • Offers Equity At Confluent, we are ... About the Role: Senior Software Engineers II at Confluent take ownership of critical backend ...

Quora

AI Automation Engineer -Remote

Kansas City, KS · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Topeka, KS · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Overland Park, KS · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Wichita, KS · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Pittsburg, KS · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

University of Kansas

Research Engineer

Lawrence, KS · On-site +1

Contribute significantly to creating and extending the Specify 7 web platform by applying software ... We offer the option for in-office, remote, or hybrid work on a flexible 40-hour schedule. Due to ...

Brex

$192K - $240K/yr

Engineering at Brex Engineering at Brex is about building systems that scale with speed and ... Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep ...

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Aviation Software Engineer Remote information

What are the key skills and qualifications needed to thrive as an Aviation Software Engineer (Remote), and why are they important?

To thrive as an Aviation Software Engineer working remotely, you need a strong background in computer science or engineering, proficiency in programming languages like C++ or Python, and experience with aviation standards such as DO-178C. Familiarity with tools like MATLAB, Simulink, version control systems (e.g., Git), and certification in safety-critical software development are often required. Exceptional problem-solving, attention to detail, and clear remote communication skills help you excel in distributed teams. These skills ensure the delivery of reliable, compliant, and safe aviation software crucial for the industry's strict regulatory and operational demands.

What does an Aviation Software Engineer do when working remotely?

An Aviation Software Engineer working remotely is responsible for designing, developing, testing, and maintaining software solutions specifically for the aviation industry. This can include applications for flight management systems, air traffic control, aircraft navigation, and other critical aviation technologies. Remote engineers collaborate with teams using digital tools, ensuring the software meets safety standards and regulatory requirements. They also troubleshoot issues, implement updates, and may interact with hardware simulators or cloud-based systems to ensure functionality and reliability. Communication and collaboration skills are vital, as much of the coordination happens online.

What are some common challenges faced by Aviation Software Engineers working remotely, and how can they be addressed?

Aviation Software Engineers working remotely may encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring secure access to sensitive aviation data, and maintaining clear communication during complex development cycles. To address these issues, it is helpful to establish regular virtual meetings, utilize robust collaboration tools, and adhere to strict cybersecurity protocols. Proactively documenting code and processes also helps maintain project alignment and quality standards within a distributed team.
What are popular job titles related to Aviation Software Engineer Remote jobs in Kansas? For Aviation Software Engineer Remote jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Aviation Software Engineer Remote jobs in Kansas look for? The top searched job categories for Aviation Software Engineer Remote jobs in Kansas are:
Aviation Software Engineer Remote jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kansas City, KS • Remote

Other

Posted 22 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