Software Engineer, AI

Job Description

Responsibilities

• Build AI agents that automate penetration testing: planning, tool use, reasoning over findings, and acting safely within scope.
• Stand up and run the sandboxed cyber-lab and range infrastructure, containerised on Kubernetes, where these agents execute offensive tooling.
• Ship features from ideation through production, including evals, guardrails and monitoring.
• Improve how our agents work: prompting, tool orchestration, evaluation, and cost.
• Lead code reviews and design sessions, and help the engineers around you grow.
• Work closely with our security researchers to translate how they hack into how our agents operate.

Here’s what you’ll need

• 4+ years of software engineering experience
• Proven ability to build and scale production systems
• Strong Python, polyglot codebase
• Fluent or willing to learn Go
• Hands-on experience building and operating production AI applications using LLMs and agentic frameworks (e.g., RAG, MCP, LangGraph or similar), including tool integration, prompt design, evaluation, guardrails, and token/cost optimization.
• Demonstrate ability to create reliable agents (prompting, evaluation, guardrails, understanding of token and cost optimization
• Capable leveraging Docker, Kubernetes, isolated sandbox, cloud experience GCP preferred
• Brings a disciplined testing approach to microservices gPRC, API design, async messaging (Pub/Sub, Kafka)
• Passionate desire to understand how systems get compromised
• Clear communication
• Collaborative ability to partner across teams

Nice To Have

• Offensive security experience: penetration testing, red teaming, CTF, or security tooling.
• Experience driving security tools programmatically or automating an attack chain.
• Startup experience, where scope is broad and priorities move fast.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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