Member of Technical Staff - Agent

Armadin
Palo Alto, CA
On-site

Who this role is best for

Best suited to backend engineers with experience in agentic systems working in security and AI domains.

Best fit for

  • Backend engineers with production experience in distributed systems and agentic frameworks
    โ€” โ€œDeep expertise in backend and distributed systems, with experience running high-stakes production environmentsโ€
  • Individuals excited about applying AI to security challenges and building autonomous systems
    โ€” โ€œWe're building autonomous proactive security from the ground upโ€
  • Candidates who can bridge research and product teams with end-to-end execution capability
    โ€” โ€œYou work well with researchers, product, and engineers to deliver exceptional outcomesโ€

Things to consider

  • In-office presence is mandatory in Palo Alto, with no remote flexibility mentioned
    โ€” โ€œIn-person in our Palo Alto officeโ€
  • The role focuses on systems that operate in high-stakes, production environments
    โ€” โ€œexperience running high-stakes production environmentsโ€

How to stand out

  • Highlight experience with building autonomous systems and measurable agent behavior
    โ€” โ€œBuild the Agentic Platform: Design the orchestration, tool use, planning loops, and memoryโ€
  • Showcase work with distributed execution and observability in high-performance environments
    โ€” โ€œBuild agentic systems with distributed execution, concurrency, and observabilityโ€
  • Emphasize contributions to evaluation and safety of non-deterministic AI systems
    โ€” โ€œBuild evaluation and observability systems with domain experts so agent behavior is measurable, safe, and always improvingโ€
Pace ยท Fast PacedCollaboration ยท MediumAutonomy ยท HighDecision Impact ยท Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build the Agentic Platform
  • coordinate at swarm scale
  • own the LLM stack & evals
Typical background
deep expertise in backend and distributed systemshands-on work with agent frameworks

Skills & requirements

Required

Backend And Distributed SystemsLLM ExperienceAgentic SystemsEvaluation And ObservabilityHigh-stakes Production Environments

Preferred

Publications In Top ML Venues

About the role

Original posting from Armadin via Ashby

About Us

At Armadin, we're a group of engineers, researchers, and security researchers on a mission to redefine what proactive security can do in the AI era. Cyberattacks are becoming autonomous and relentless and we believe defending against threats before they materialize is one of the most powerful ways to protect the institutions the world depends on.

We're building autonomous proactive security from the ground up, reinforcing the tradecraft of elite security practioners into purpose-built security models and agents that discover risk and remediate it before organizations are breached.

Led by Kevin Mandia, founder of Mandiant ($5.4B exit to Google), our team brings together researchers and engineers from Google, xAI, Meta, Stanford, Georgia Tech, Waterloo, Berkeley, and MIT to reinvent security for an adversary that never sleeps.

What You'll Do

  • Build the Agentic Platform: Design the orchestration, tool use, planning loops, and memory that let agents reason autonomously over complex data, turning raw models into robust product behaviors.
  • Coordinate at Swarm Scale: Build agentic systems with distributed execution, concurrency, and observability, relentlessly pushing on latency and cost.
  • Own the LLM Stack & Evals: Build evaluation and observability systems with domain experts so agent behavior is measurable, safe, and always improving.

What You'll Bring

  • Engineering Fundamentals: Deep expertise in backend and distributed systems, with experience running high-stakes production environments.
  • Applied LLM Experience: Hands-on work with agent frameworks, tool use, prompting, or retrieval, or a strong systems background and real excitement to go deep.
  • End-to-End Execution: You turn ambiguous problems into shipped, reliable software and own it from design to operational health.
  • AI Fluency & Judgment: AI shapes how you build, and you know when to drive broad architecture versus go deep on one hard problem.
  • Collaboration: You work well with researchers, product, and engineers to deliver exceptional outcomes.

Even Better With

  • Agentic or LLM-powered systems in production, beyond prototypes and demos.
  • Evaluation and observability for non-deterministic systems.
  • Enterprise products built for reliability, scale, and customer trust.
  • Publications in top ML venues (e.g., NeurIPS, ICML, ICLR, ACL).

Location

In-person in our Palo Alto office.

Benefits & Perks | FTE

๐Ÿฅ Full Health, Dental, & Vision Coverage

๐Ÿ“ˆ Meaningful Equity Ownership

๐Ÿฅ™ In-Office Meals

โœ‚๏ธ Haircuts at the Office

๐ŸŽ‰ Company Sponsored Conferences & Events

๐Ÿ’ธ 401(k), HSA, and FSA Plans

๐ŸŒด Flexible PTO

Source: Armadin careers (Ashby)

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