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Remote Aws Serverless Developer Jobs in Michigan

micro1 AI

Senior Database Reliability Engineer

Detroit, MI · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... AWS RDS and Aurora PostgreSQL. • Optimize database performance by analyzing query execution plans ...

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Remote Aws Serverless Developer information

What is a remote AWS Serverless Developer?

A Remote AWS Serverless Developer is a software engineer who specializes in building and maintaining applications using Amazon Web Services (AWS) serverless technologies, such as AWS Lambda, API Gateway, DynamoDB, and others, while working remotely. These professionals design, code, and deploy scalable solutions without managing traditional server infrastructure. Their responsibilities often include writing cloud functions, integrating AWS services, automating deployment processes, and ensuring high performance and security standards. They collaborate with teams using online tools and are knowledgeable about cloud architecture best practices.

What are the key skills and qualifications needed to thrive as a remote AWS Serverless Developer?

To thrive as a Remote AWS Serverless Developer, you need strong skills in cloud computing, programming (especially in languages like Python or Node.js), and deep knowledge of AWS serverless services such as Lambda, API Gateway, and DynamoDB. Familiarity with AWS CloudFormation, SAM, CI/CD pipelines, and AWS certifications like AWS Certified Developer – Associate are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help you excel in distributed team environments. Mastering these competencies ensures you can build scalable, efficient serverless solutions while collaborating seamlessly with global teams.

How does a remote AWS Serverless Developer typically collaborate with other team members across different time zones?

As a Remote AWS Serverless Developer, you’ll often work with cross-functional teams including front-end developers, DevOps engineers, and project managers who may be distributed globally. Effective collaboration relies heavily on clear communication through tools like Slack, Jira, and regular video meetings. You’ll likely take part in code reviews, sprint planning, and architecture discussions asynchronously to accommodate varying time zones. Documenting your work and maintaining up-to-date status reports are important to keep everyone aligned and ensure smooth project progress.

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Remote Aws Serverless Developer jobs near you

Generative AI Automation Engineer - Remote Job

Kalamazoo, MI • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 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