WHO WE ARE:

We are GoSpooky. An incredibly fast-moving bunch of unconventional storytellers, social media superstars, and slam-dunking creatives. We know all things internet culture and create scroll-stopping content people actually want to share. One thing we all have in common: we are always on the lookout for attention. At GoSpooky, we believe in being authentic, bold and creative - it’s the essence of who we are. We are on the lookout for like-minded talent who share these values and thrive on pushing boundaries by shaking up social media. We need people who aren’t afraid to experiment, think outside the box, and embrace challenges with enthusiasm. If you are someone who spots an opportunity in the morning and brings it to life by the afternoon, we would love to hear from you.

ROLE OVERVIEW:

As AI Developer, you are the hands-on builder of GoSpooky’s next-gen AI and automation tooling. You will prototype intelligent agent systems, implement generative workflows, and develop intuitive interfaces that empower our internal teams across creative, strategy, and production. This is a technical maker role at the intersection of AI, creative innovation and growth automation. built for someone who loves to tinker, prototype, and ship smart tools that get used. If you’re someone who thrives on experimentation, gets energy from turning ideas into real tools, and wants to shape how AI transforms creative work, this is the job for you.

KEY RESPONSIBILITIES:

• Build, test, and deploy intelligent AI agents that enhance both internal operations and client-facing workflows.
• Integrate AI agents into GoSpooky’s core productivity tools, including Slack, Google Workspace, and custom dashboards.
• Design and automate workflows using tools liken8n, Rasa, or custom automation stacks.
• Fine-tune LLM-powered agents with advanced prompt engineering, memory management, and multi-layered context strategies.
• Fine-tune large language models for business-specific use cases.
• Collaborate with the AI Lead and cross-functional AI Champions to scope, prioritize, and refine agent features.
• Contribute to the development of “agent observability” tools to enable transparency, debugging, and performance monitoring.
• Implement ethical and safe AI practices through guardrails, feedback loops, and testing protocols.
• Regularly evaluate real-world usage to improve performance, reliability, and user experience.