AI Software Engineer

gb Infosec
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Software System Penetration Testing Cloud Computing Code Review Cyber Security Python (Programming Language) Message Oriented Middleware Software Engineering Large Language Models Prompt Engineering Kubernetes Apache Kafka
+4 more
Api Design Grpc Docker Microservices

Job description

  • Design, build and deploy AI agents that automate penetration testing, including planning, tool use and reasoning over security findings
  • Develop sandboxed cyber-lab and range infrastructure using containers and Kubernetes
  • Deliver AI features from initial design through to production, including evaluations, guardrails and monitoring
  • Improve agent performance through prompt engineering, tool orchestration, evaluation and token and cost optimisation
  • Integrate security tools and enable agents to operate safely within defined scopes
  • Work closely with security researchers to translate offensive security techniques into effective agent behaviours
  • Lead code reviews and technical design sessions while supporting the development of other engineers
  • Contribute to reliable, scalable production systems across a polyglot technology environment, This is a remote position based in the UK. Due to the nature of the work, the role is open to UK citizens only and may be subject to nationality, residency and security-clearance checks. If you are an AI Software Engineer with strong Python, AI and cybersecurity interests, this is an opportunity to work on autonomous security systems with a meaningful real-world impact. Apply now to take the next step in your career.

Requirements

  • Significant software engineering experience, with a proven ability to build and scale production systems
  • Strong Python development skills and willingness to work with or learn Go
  • Hands-on experience building and operating production AI applications using large language models 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 token and cost optimisation
  • Proficiency with Docker, Kubernetes and isolated sandbox environments, with cloud experience; GCP is advantageous
  • Knowledge of microservices, gRPC, API design, asynchronous messaging and platforms such as Pub/Sub or Kafka
  • Strong testing, communication and collaboration skills, alongside a genuine interest in understanding how systems are compromised

Desirable Experience:

  • Experience in offensive security, penetration testing, red teaming, capture-the-flag competitions or security tooling
  • Experience driving security tools programmatically or automating an attack chain
  • Experience working in a start-up environment with broad responsibilities and changing priorities

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Evaluating architectural trade-offs between REST and gRPC

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