AI/ML Engineer

Core Engineering: 1 - 3+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).

Agentic Systems: Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures.

Graph Architectures: Solid understanding of Graph structures and specifically graph databases.

Orchestration Frameworks: Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.

Distributed Systems: Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.

APIs: Strong fundamentals in API design (REST/gRPC) and distributed systems.

Communication: Clear, concise communication skills and a bias for collaborative problem-solving.

Leadership Alignment: Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries.

Analytical Rigor: Strong problem-solving and analytical skills.

Domain Background: Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).

Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.

Cloud Infrastructure: Familiarity with cloud infrastructure security (AWS, GCP, or Azure).