AI Developer (Full-Stack - Agentic AI)

This is a remote position.

Location: Currently remote; may transition to onsite in the future

We’re building a small, elite AI engineering team focused on shipping AI-first SaaS products and agentic experiences at startup speed.

We are looking for Full-Stack AI Developers who live and breathe rapid prototyping. If you enjoy turning ideas into working AI-powered SaaS applications in days, not months, experimenting with the latest AI tools, and building production-ready agentic systems — this role is for you.

This team will develop shared AI platforms, reusable agents, and AI experiences used across multiple product groups.

What You’ll Be Doing

AI & Agentic Systems

• Design and implement AI agents and multi-agent systems using modern agentic patterns
  
• Build LLM-powered workflows using frameworks like LangChain and similar ecosystems
  
• Architect and optimize RAG pipelines, prompt flows, and tool-using agents
  
• Leverage LLM APIs, SDKs, and MCP servers
  
• Build MCP (Model Context Protocol) servers from scratch when needed
  
• Stay hands-on with:
  
• Prompt engineering
  
• Debugging hallucinations and failures
  
• Performance, cost, and latency optimization
  
• Scaling AI systems to production
  

Full-Stack Development

• Build rapid prototypes of AI-powered SaaS applications
  
• Develop modern frontends using Next.js / React
  
• Build backend services using Python etc.
  
• Create APIs and services that power AI workflows
  
• Integrate AI features directly into user-facing products
  
• Own features end-to-end — frontend, backend, AI logic, deployment
  
  

AI-Led Development Culture

• Use AI DevTools daily:
  
• Cursor
  
• Claude Code
  
• GitHub Copilot
  
• Any other tools that help you move faster
  
• Embrace AI-assisted coding as a default, not an experiment
  
• Rapid experimentation → validation → iteration
  

Why Join Us

• Work on real, production AI systems, not demos
  
• Small, high-ownership team — your work ships fast
  
• Freedom to choose the best tools and architectures
  
• Direct impact on multiple products
  
• Build AI platforms that scale across teams and customers