Junior AI Engineer
New
A
AjaiaAI software
United States, Eastern Time hours: Monday to Friday, 9:00 AM to 5:00 PM ET, including holidays.Full-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 and a backend language such as Python or Node.js.
- Understand REST APIs, SQL databases, and authentication.
- Have hands-on experience calling a large language model API such as OpenAI, Anthropic, or Gemini in a project.
- Use Git and GitHub for daily collaboration.
- Communicate clearly in written and spoken English with technical and non-technical colleagues.
- Use AI tools daily for coding, debugging, and learning, and check AI-generated code for correctness.
- Be eager to learn, take feedback, and improve quickly.
- Work Monday to Friday, 9:00 AM to 5:00 PM Eastern Time, including holidays.
- Have reliable wired internet with at least 100 Mbps speed, a computer with Intel Core i5 or Ryzen 5 or higher, at least 8 GB RAM and 128 GB available storage, Windows 10 or the latest macOS, a 1080p webcam and working microphone, and backup power and internet solutions.
- Preferred: a project using retrieval (RAG), embeddings, or a simple AI agent; exposure to AWS or Google Cloud Platform; and experience with PostgreSQL or MySQL. A dual-monitor setup is preferred.
Responsibilities
- Build and fix frontend and backend features for AI-enabled applications under senior-engineer 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 and consistently apply the team's engineering patterns.
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