Overview
As AI Software Engineer, you will help build autonomous AI agents to plan, reason, and operate security tooling for controlled environments. You will work on a remote UK-based team within a leading cybersecurity technology company, shaping how penetration testing is automated. You will design and deploy AI agents, sandboxed labs, and scalable production systems, with guardrails and monitoring. You will collaborate with security researchers to translate offensive techniques into agent behavior and drive performance through prompt engineering and tool orchestration. This role offers the chance to impact real-world security while working across a polyglot stack in a fast-paced environment.
Pay / Benefits
- remote work
- competitive salary
Responsibilities
- Design, build and deploy AI agents to automate penetration testing
- Develop sandboxed cyber-lab and range infrastructure with containers and Kubernetes
- Deliver AI features from design to production with guardrails and monitoring
- Improve agent performance via prompt engineering, tool orchestration, evaluation and cost optimisation
- Integrate security tools and ensure safe operation within defined scopes
- Collaborate with security researchers to translate offensive security techniques into agent behavior
- Lead code reviews and technical design sessions while supporting other engineers
- Contribute to reliable, scalable production systems across a polyglot technology environment
Key requirements
- Significant software engineering experience with proven ability to scale production systems
- Strong Python development skills and willingness to learn Go
- Hands-on experience building/operating production AI apps using LLMs and agentic frameworks
- Understanding of RAG, MCP, LangGraph or similar technologies including tool integration and prompt design
- Experience creating reliable AI agents through evaluation, guardrails and cost optimisation
- Proficiency with Docker, Kubernetes and isolated sandbox environments, with cloud experience; GCP advantageous
- Knowledge of microservices, gRPC, API design, asynchronous messaging and platforms such as Pub/Sub or Kafka
- Strong testing, communication and collaboration skills, and interest in how systems are compromised
- communication
- collaboration
- problem-solving
- Python
- Go
- large language models
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