How to apply for Engineer

About AI Digest

AI Digest is at the forefront of AI research communication, distilling complex trends into accessible insights. Their AI Village project is a pioneering virtual community where frontier AI agents interact and evolve, offering a unique window into emergent agentic behaviors. Joining this team means contributing to cutting-edge AI safety research in a fast-paced, remote-first environment.

About the role

As an Engineer on the AI Village team, you'll build and scale the full-stack infrastructure that hosts livestreamed AI agents, developing tools for deployment, monitoring, and real-time interaction. Your work will directly enable research on long-horizon agentic capabilities and emergent dynamics, making you a key player in understanding AI behaviors. This role is perfect for a full-stack engineer who thrives on independent problem-solving and wants to make a tangible impact on AI safety.

A typical day

You might start your day by checking on the AI Village agents, reviewing logs and metrics for any anomalies. Then you could dive into coding a new feature for the monitoring dashboard, or collaborate with researchers to refine experiment parameters. Afternoons might involve debugging a chat system issue or brainstorming with the team on how to better visualize long-horizon agent behaviors.

Who AI Digest is looking for

• Strong full-stack engineer with experience in building scalable web applications, comfortable with both frontend (React, etc.) and backend (Node, Python, etc.) technologies.
• Hands-on experience with LLMs (e.g., OpenAI, Anthropic APIs) and interest in agentic AI, including deployment and monitoring of AI agents.
• Independent problem-solver who can thrive in a fast-moving, remote environment with minimal oversight, taking initiative from vague requirements.
• Deep interest in AI safety and capability research, with a genuine curiosity about emergent behaviors and long-horizon agent dynamics.

Tips for this application

• Tailor your resume to highlight any experience with LLM integration, agent deployment, or livestreaming tech (e.g., WebRTC, HLS).
• Include a link to a GitHub repo or project where you've built a full-stack app, especially if it involves real-time data or AI components.
• Write a custom cover letter that explicitly mentions AI Village and why you're excited about studying emergent agentic behaviors.
• Showcase your ability to work independently by providing examples of self-directed projects or contributions to open-source.
• If you have UX design or technical writing skills, be sure to highlight them, as they are a plus for this role.

What to cover in your cover letter

['Express genuine interest in AI safety and capability research, and explain how this role aligns with your career goals.', 'Demonstrate your full-stack engineering expertise with concrete examples of building and scaling platforms, especially those involving real-time user interaction.', 'Highlight any experience with LLMs or AI agents, and discuss what you find fascinating about emergent agentic behaviors.', 'Emphasize your ability to work autonomously in a remote setting and your knack for turning ambiguous problems into actionable solutions.']

Research before applying

• Familiarize yourself with the AI Village project by reading any available documentation or blog posts on the AI Digest website.
• Understand the mission of AI Digest - how they curate AI trends and their stance on AI safety.
• Look into the concept of 'emergent agentic behaviors' and recent research in AI agent evaluation (e.g., from Anthropic, OpenAI, or academic papers).
• Check out the AI Digest newsletter and social media to get a sense of their tone and the community they've built.

Likely interview topics

Based on the job description, expect questions about:

• How would you architect a system to deploy and monitor multiple AI agents simultaneously, ensuring reliability and scalability?
• Describe your experience with LLMs. How have you integrated them into applications, and what challenges did you face?
• How would you design an interface to visualize agent behavior over multi-hour sessions? What metrics would you track?
• What are your thoughts on AI safety? How do you think studying emergent agentic behaviors can contribute to safety research?
• Tell us about a time you had to solve a complex problem independently with little guidance. What was your approach?

Common mistakes to avoid

• Don't submit a generic cover letter that could apply to any engineering job. Show you've done your homework on AI Village.
• Avoid focusing solely on frontend or backend skills; emphasize your full-stack capabilities and ability to handle both.
• Don't dismiss the AI safety aspect as irrelevant; even if you're not a researcher, show genuine interest in the mission.
• Don't neglect to mention any experience with livestreaming or real-time systems, as that's a core part of the role.