We are hiring an AI Engineer to build agentic AI systems for cybersecurity use cases. This role blends LLMs with solid AI/ML fundamentals to ship reliable, auditable services.
Requirements
- Design, build, and ship agentic AI features for security use cases
- Implement and harden retrieval-augmented generation (RAG): indexing, chunking, routing, re-ranking, feedback loops, and data governance
- Set up evaluation & observability for LLM/agent workflows
- Build safety & guardrails and monitor them in production
- Apply traditional ML where it’s simpler or more effective than LLMs
- Own productionization: CI/CD for AI apps, containerization, scalable inference endpoints, vector/search infra, runbooks, and SLOs for reliability
- Collaborate with product and security teams to scope problems, write concise design docs, and iterate quickly while meeting security and privacy requirements
Benefits
- A wholly-owned subsidiary of GovTech
- An attractive yearly training budget and annual performance bonus
- Contract Staff enjoys the same benefits as Permanent Employees