Full-Stack Engineer - AI trainer
Posted Today by micro1
Negotiable
Undetermined
Remote
EMEA
Summary: Join a dynamic team as a Full-Stack Engineer - AI trainer, focusing on advancing AI solutions through full-cycle prompt engineering and AI training. This part-time, remote role requires a blend of full-stack development skills and a passion for AI, contributing to high-quality outputs in a growth-oriented environment. Collaborate with machine learning engineers and document technical processes to ensure the reliability of AI systems.
Key Responsibilities:
- Design, develop, and maintain full-stack applications supporting AI model training and deployment.
- Lead prompt engineering efforts, including creation, testing, and iterative refinement to optimize AI model responses.
- Collaborate closely with machine learning engineers to integrate robust frontend and backend components for AI workflows.
- Document technical designs, workflows, and training outcomes with precise written communication.
- Participate in code reviews, troubleshooting, and performance tuning to ensure reliability and scalability of AI systems.
- Contribute to the design and execution of testing protocols for AI models and supporting applications.
- Convey complex technical concepts effectively in both written and verbal forms, ensuring alignment across the team.
Key Skills:
- Bachelor’s degree in Computer Science or a related technical field.
- At least 2 years of professional experience as a full-stack engineer.
- Proficiency in both frontend and backend technologies (such as React/Vue and Node.js/Python).
- Experience with databases, RESTful APIs, and cloud-based architectures.
- Strong analytical skills and familiarity with AI model training and prompt engineering.
- Exceptional written and verbal communication abilities, with a strong attention to detail.
- Demonstrated ability to deliver high-quality results in remote and collaborative settings.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Full-Stack Engineer - AI trainer
Job Type: Part-time
Location: Remote
Job Summary
Join our customer's team as a Full-Stack Engineer - AI trainer and play an integral role in advancing next-generation AI solutions. You will leverage your technical expertise to drive full-cycle prompt engineering and AI training initiatives, ensuring both technical excellence and high-quality outputs. This position offers the unique opportunity to combine deep full-stack knowledge with a passion for AI, working remotely in a dynamic, growth-oriented environment.
Key Responsibilities
- Design, develop, and maintain full-stack applications supporting AI model training and deployment.
- Lead prompt engineering efforts, including creation, testing, and iterative refinement to optimize AI model responses.
- Collaborate closely with machine learning engineers to integrate robust frontend and backend components for AI workflows.
- Document technical designs, workflows, and training outcomes with precise written communication.
- Participate in code reviews, troubleshooting, and performance tuning to ensure reliability and scalability of AI systems.
- Contribute to the design and execution of testing protocols for AI models and supporting applications.
- Convey complex technical concepts effectively in both written and verbal forms, ensuring alignment across the team.
Required Skills and Qualifications
- Bachelor’s degree in Computer Science or a related technical field.
- At least 2 years of professional experience as a full-stack engineer.
- Proficiency in both frontend and backend technologies (such as React/Vue and Node.js/Python).
- Experience with databases, RESTful APIs, and cloud-based architectures.
- Strong analytical skills and familiarity with AI model training and prompt engineering.
- Exceptional written and verbal communication abilities, with a strong attention to detail.
- Demonstrated ability to deliver high-quality results in remote and collaborative settings.
Preferred Qualifications
- Previous experience working on AI training or prompt engineering projects.
- Familiarity with LLMs and generative AI technologies.
- Contributions to open-source projects or published technical articles.