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AI Engineering Fellowship

Location: In-person, Midtown Manhattan

Type: Paid Fellowship | Full-time or part-time considered

Duration: 10–12 weeks

Start Date: June 1 (preferred)

Overview

Join a high-impact, experimental initiative using advanced AI to counter disinformation and antisemitism. This fellowship is designed for engineers and technical thinkers eager to work fast, solve meaningful problems, and contribute to a first-of-its-kind effort within a nimble nonprofit team.

Who We’re Looking For

We’re seeking technically exceptional individuals who are self-motivated, capable of independent execution, and excited to operate in an environment defined by urgency and experimentation. Ideal candidates will have:

  • Enrollment in a leading computer science or engineering program, or equivalent experience through projects, internships, or open-source contributions

  • Strong software engineering fundamentals (data structures, systems programming, algorithms)

  • Proficiency in at least one modern programming language (e.g., Python, JavaScript, TypeScript, Go)

  • Experience with AI/ML tools such as OpenAI, Anthropic, HuggingFace, LangChain, or Pinecone

  • Comfort with ambiguity, high tolerance for iteration, and a strong sense of ownership

Why Join

This is a builder’s role with real ownership and urgency.

Impact: Work on real-world problems with immediate relevance

Autonomy: Define and execute your own weekly deliverables

Visibility: Influence strategy and potentially seed future ventures

Pace: Operate without bureaucracy in a mission-driven, agile team

What You’ll Do

Fellows will be embedded in a fast-moving, experimental team where they’ll operate like engineers at an early-stage startup, pushing the boundaries of how advocacy work can be done in the AI era. You will:

  • Build experimental tools using LLMs, multi-agent systems, generative media, and real-time monitoring frameworks

  • Stand up weekly software prototypes — from AI-powered research assistants to synthetic content engines — and present your outcomes

  • Collaborate directly on technical strategy, including feasibility analysis, opportunity mapping, and iterative planning

  • Lead internal knowledge sharing through live demos, code walkthroughs, and technical documentation

How to Apply

To apply, please submit to fellowship@ai-ap.org:

  • A resume or LinkedIn profile

  • Portfolio, GitHub, or links to relevant work

  • A brief statement outlining your interest and qualifications

  • (Optional) A short note about an AI tool or system you admire, and why

Applications are reviewed on a rolling basis. Selected candidates will complete a brief technical challenge and interview.