Backend AI-Driven Intern (Java) | Hybrid NYC

Eulerity

New York (NY)

Hybrid

USD 23,000 - 26,000

Full time

3 days ago
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Benefits offered by this job

Mentorship with regular peer reviews
Unlimited snacks and lunch credit
Full GitHub Copilot access with front‑
Frontier LLMs and coding agents

Job summary

Eulerity is offering a backend internship in the NYC area, focused on developing, testing, and maintaining our AI-augmented services. You will build features from design to deployment and prototype new ideas using AI tooling.

You will work with cross-functional teams, document systems, and support operations. The role requires at least 1 year of Java backend experience and a readiness to learn in a fast-paced environment; hybrid in-office schedule with weekly presence.

Qualifications

  • Based in the NYC tri-state area.
  • Able to commit minimum 20 hours per week.
  • At least 1 year of experience building backend solutions with Java.
  • Experience with AI agents or AI tooling is required.
  • Comfortable integrating with third-party APIs.

Responsibilities

  • Develop, test, and maintain backend services using AI agents.
  • Implement new features from design to deployment.
  • Prototype new features and product ideas using AI tooling.
  • Collaborate with other teams on features and releases.
  • Assist with documentation, training, and support of systems.

Skills

Java backend
AI tooling
Team collaboration
Communication
Problem solving
Third-party APIs

Education

Pursuing Computer Science degree

Tools

GitHub Copilot
Anthropic
OpenAI
LLM frameworks

Job description

Eulerity is offering a backend internship in the NYC area, focused on developing, testing, and maintaining our AI-augmented services. You will build features from design to deployment and prototype new ideas using AI tooling.

You will work with cross-functional teams, document systems, and support operations. The role requires at least 1 year of Java backend experience and a readiness to learn in a fast-paced environment; hybrid in-office schedule with weekly presence.

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