At CovertSwarm, we're doing something few teams get to do: building agentic workflows for real ethical hacking. This is greenfield engineering where you'll work alongside expert security consultants, translate their judgement into LLM-powered systems that are reliable, observable, and backed by rigorous evals.

You'll join a small, new team and help shape not just what we build but how we build it. All this, in a culture of low ego, high trust and constant learning. It's the perfect role for someone excited by real autonomy and technical challenge.

This is a remote role open to candidates based in EU or Eastern Standard Time (EST) time zones. We gather in person around once per quarter for occasional offsites to kick off new workstreams and align as a team

What you'll work on

You'll help design, build, and improve AI systems that support real offensive security work. This may include:

• Autonomous hacking agents that carry out multi-step offensive workflows end to end. You'll design and build the architecture that makes them reliable and reusable.
• Backend and interfaces that surface these agents to consultants: APIs, services, and UIs that turn raw agent capability into tools consultants can use independently.
• Evaluation and benchmarking, building realistic target labs and eval harnesses to measure agent performance, and the validation logic that confirms exploits and reduces false positives. All of it built on testable, observable, and maintainable systems.
• Gen-AI features for consultants, such as chatbot interfaces, text-generation tools, and strategy ideation features that solve real delivery problems.
• Applied AI research, separating what's genuinely useful from what's hype. You'll have regular research time and an unlimited training budget for continuous learning

The tech stack

Our current stack includes Python, TypeScript, React, LangGraph, Docker and AWS. You don’t need deep experience in all of these, but you should be comfortable building production-quality systems and learning quickly.

Most of the work sits at the intersection of engineering, agentic AI, evaluation, observability, and usable internal tooling.

Who you are

You're a strong engineer who's gone deep on LLMs and agents. You write good quality code, you think rigorously, you take problems and run with them end to end.

What experience you need to be successful

1. Strong production engineering experience
   You should have proven experience writing high-quality production code and building reliable applications across at least a portion of our tech stack. This includes writing testable and maintainable software, designing systems end to end, working with CI/CD, deploying services, debugging production issues, and making sensible engineering trade-offs.