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).

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.

Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.

Collaborate with a talented and innovative team focused on continuously improving security operations.

Competitive salary and benefits package.

A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with advanced multi-agent architectures, we encourage you to apply!