Junior AI Engineer
New
A
AjaiaAI software
This is a fully remote role within approved hiring locations, Eastern Time hours: Monday to Friday, 9:00 AM to 5:00 PM ET, including holidaysFull-TimeJunior
SalaryUSD 10,000 per year base salary + Performance Bonus
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Job Details
- Languages
- Clear written and spoken English
- Experience
- 0–2 years of professional experience, or a strong portfolio of shipped projects
- Required Skills
- Node.jsPythonSQLGitNext.jsReactRESTful APIsGitHub
Requirements
- Have 0–2 years of professional experience or a strong portfolio of shipped projects; internships, freelance, open-source, and personal projects count.
- Have working knowledge of a modern frontend framework such as React or Next.js.
- Have working knowledge of a backend language such as Python or Node.js.
- Understand REST APIs, SQL databases, and authentication at a basic level.
- Have hands-on experience calling a large language model API such as OpenAI, Anthropic, or Gemini in a project.
- Be comfortable using Git and GitHub for daily collaboration.
- Use AI tools daily for coding, debugging, and learning, and check AI-generated code for correctness.
- Follow the stated Monday–Friday, 9:00 AM–5:00 PM ET schedule, including holidays.
- Have reliable wired internet with at least 100 Mbps speed.
- Have a computer with an Intel Core i5 or Ryzen 5 processor or higher, at least 8 GB RAM, and 128 GB available storage.
- Use Windows 10 or the latest macOS and have a 1080p webcam, working microphone, and backup solutions for power and internet interruptions.
- Preferred: project experience with retrieval (RAG), embeddings, or a simple AI agent; exposure to AWS or Google Cloud Platform; or experience with PostgreSQL or MySQL.
Responsibilities
- Build and fix frontend and backend features for AI-enabled applications under senior engineers' guidance.
- Help integrate large language model APIs, prompts, and simple AI workflows into products.
- Write clean, tested code and participate in code reviews.
- Work with APIs, databases, and cloud deployments on well-defined tasks.
- Use AI tools for coding support, debugging, research, test generation, and documentation.
- Ask clarifying questions early and raise blockers quickly.
- Keep documentation, tickets, and status updates current.
- Learn the team's engineering patterns and apply them consistently.
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