... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Collaborate with software development and IT teams to integrate Generative AI solutions with ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Collaborate with software development and IT teams to integrate Generative AI solutions with ...
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Data Lead & Pre-Sales - Remote - USA
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This is a remote position. We are looking for a great JavaScript developer who is proficient with ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...
This is a remote position. We are looking for a great JavaScript developer who is proficient with ... Great learning opportunities to develop new skills and understanding of cutting edge software tools ...
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Software Engineer, iOS Core Product - Madison, WI, USA
Madison, WI · Remote
$141K/yr
We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down * Technical skills. Swift, SwiftUI Technical Requirements: * Swift Programming Language
Software Engineer, iOS Core Product - Madison, WI, USA
Madison, WI · Remote
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Madison, WI · On-site +1
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PRGS) - the trusted provider of software that enables our customers to develop, deploy and manage ... level code. In this role, you will: * Automate deployment and upgrade processes for Windows-based ...
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Remote Mid Level Software Engineer information
See Madison, WI salary details
$64K - $77K
2% of jobs
$77K - $90K
4% of jobs
$90K - $103K
6% of jobs
$103K - $116K
8% of jobs
$123K is the 25th percentile. Wages below this are outliers.
$116K - $129K
7% of jobs
$129K - $142K
18% of jobs
The median wage is $145.1K / yr.
$142K - $155K
16% of jobs
$155K - $168K
2% of jobs
$173.4K is the 75th percentile. Wages above this are outliers.
$168K - $181.1K
26% of jobs
$181.1K - $194.1K
1% of jobs
$194.1K - $207.1K
8% of jobs
$64K
$148.6K
$207.1K
How much do remote mid level software engineer jobs pay per year?
What is the difference between Remote Mid Level Software Engineer vs Remote Software Developer?
| Aspect | Remote Mid Level Software Engineer | Remote Software Developer |
|---|---|---|
| Credentials | Bachelor's in CS or related field, 2-4 years experience | Bachelor's in CS or related field, 1-3 years experience |
| Work Environment | Collaborates with cross-functional teams, involved in design and implementation | Focuses on coding, debugging, and feature development |
| Industry Usage | Common in tech companies, startups, and software firms | Widely used across tech, SaaS, and product companies |
Remote Mid Level Software Engineers typically have more involvement in system design and team collaboration, while Remote Software Developers focus primarily on coding and feature implementation. Both roles require similar educational backgrounds, but the engineer role often involves broader responsibilities.

Full-time
Posted 14 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.
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.
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.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020