A
AI Engineer
Sin especificarTiempo completoAI EngineeringCybersecurity
Build and operate production AI agent systems that investigate vulnerabilities, generate and validate code fixes, and automate security remediation for software teams.
Responsabilidades
- Build production AI agent pipelines for vulnerability research, patch generation, validation, container remediation, and merge requests
- Design prompts, tools, model selection, context, guardrails, and integrations for AI agents
- Create tracing, datasets, evaluations, scorers, and feedback loops to improve system performance
- Analyze patch success, quality, latency, and cost using evidence-based methods
- Operate AI workflows in production across Kubernetes, Argo Workflows, AWS, and GitOps
- Partner with Product and Engineering to prioritize high-impact security problems and deliver quickly
Requisitos
- Hands-on experience building with large language models, agentic architectures, and AI workflows
- Strong experience using coding agents in daily engineering work
- Understanding of evaluation design, experimental rigor, noisy metrics, statistical reasoning, and feedback loops
- Strong software engineering skills and an experiment-driven approach
- Ability to assess whether AI systems work reliably in production
- Experience working independently with high ownership
- Clear communication and sound product judgment
Se valora
- Cybersecurity experience with CVEs, containers, software supply chain security, or penetration testing
- Experience with open-weight models, model serving, inference optimization, or fine-tuning
- Familiarity with Langfuse or comparable observability and evaluation platforms
- Experience with Go or TypeScript
Beneficios
- Meaningful ownership from day one
- Freedom to shape important projects and ship quickly
- Competitive compensation and equity
- Flexible working hours
- High-trust, informal culture