Experience
6–8 years of experience in full stack software engineering with a robust focus on AI/ML or GenAI systems
Hands-on experience building and shipping production-grade web applications end-to-end
Proven track record of working in rapid-paced, ambiguous settings — startups, consulting, or innovation teams preferred
Exposure to private equity, management consulting, or data-driven business environments is a plus
Technical Skills — Preferred
Cloud platforms: AWS, Azure, or GCP
LLMOps, evaluation frameworks, and AI observability tooling
Multi-agent systems and AI orchestration frameworks (e.g. LangGraph, CrewAI, AutoGen)
Experience with AI-assisted development tools (e.g. Cursor, Copilot, Claude Code)
Familiarity with Kubernetes and infrastructure-as-code