About this role
The candidate will design, implement, and deploy scalable AI-centric software systems for a leading cybersecurity company. The role involves driving the development of agentic AI capabilities for vulnerability identification, penetration testing automation, and threat intelligence enhancement. Key responsibilities include end-to-end product feature development and participating in technical discussions and code reviews. The technical environment involves working with Python or Go, LLMs, RAG, and MCP, alongside microservices, REST API, and gRPC. The person will work within an agile-based team to integrate AI capabilities into a broader security platform.
Skills & technologies
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We're hiring for a leading cybersecurity company that manages customers' attack surfaces through its innovative Penetration Testing as a Service (PTaaS) platform. This organization is dedicated to enhancing global security by leveraging a community of skilled security researchers to deliver continuous testing and vulnerability management with actionable insights.
The Role
• Design, implement, and deploy scalable AI-centric software systems.
• Drive the development of agentic AI capabilities for vulnerability identification, penetration testing automation, and threat intelligence enhancement.
• Take ownership of end-to-end product feature development, from initial concept through to production deployment and monitoring.
• Actively contribute to the design and implementation of AI-enabled systems, promoting effective software development lifecycle processes.
• Participate in technical discussions, code reviews, and design sessions to elevate team capabilities.
• Collaborate with cross-functional teams to integrate AI capabilities into broader systems and applications.
What You'll Need
• A degree in a computing or technology discipline.
• Approximately 1 year of relevant work or internship experience.
• Experience with Python or Go.
• Experience with AI technologies such as LLMs, RAG, or MCP.
• Understanding of token usage optimization and LLM cost optimization techniques.
• Strong experience with microservices, REST API design, gRPC, and writing unit/BDD tests.
• Proficiency in Docker, Kubernetes, and cloud environments (GCP preferred).
• Experience working within agile teams and on scaling microservice-based applications.
• Excellent communication and collaboration skills.
What's On Offer
• Competitive salary
• Opportunity to drive product innovation at the intersection of AI and cybersecurity.
• Work with a talented and vetted community of security researchers.
• Be part of an inclusive and diverse team committed to making the world more secure.
Apply via Haystack today!
