Job Description
What You’ll Do
- Design, build and operate full-stack web applications and backend services for internal security tooling
- Integrate LLMs directly into production products
- Build agentic AI systems capable of autonomous, multi-step actions including retrieval, cross-referencing, drafting and escalation
- Build and maintain data pipelines that ingest and process security data, including logs, scan results and alerts, for both human and AI consumption
- Own solutions end-to-end: design, build, test, deploy and support in production
- Collaborate closely with security engineers and analysts to understand real workflows and pain points
- Participate in code reviews, architecture discussions and agile ceremonies within a DevOps-driven team
Must-have
- Strong backend engineering experience with Python, using Flask, FastAPI or equivalent
- Real, production experience integrating LLMs into applications or products
- Hands-on experience with agentic AI patterns and tooling, such as LangChain, LangGraph, OpenAI Agents SDK or custom tool-calling/orchestration approaches
- Experience building and owning data pipelines
- Full-stack capability, with confidence across backend services and frontend interfaces
- A track record of owning systems end-to-end, from design through to production support
Nice-to-have
- Familiarity with cyber security concepts, including vulnerabilities, threat data, SOC workflows and security tooling
- Exposure to cloud infrastructure and container orchestration, including AWS, Azure, GCP, Docker or Kubernetes
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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