About the Role

We’re building the first autonomous AI platform that can automatically detect, fix, and validate software vulnerabilities — end to end, at scale. Think of it as agents that can update dependencies, edit Dockerfiles, rebuild Go binaries with patched versions, and validate everything automatically. This is a deeply technical, research-driven role where you’ll design, implement, and scale AI agent systems that operate on real codebases. You’ll work at the intersection of backend engineering, AI systems, and application security — designing agents, context pipelines, and evaluation frameworks that bring autonomous reasoning to production.

What You’ll Do

• Design and build AI agents from scratch to production — systems that detect, fix, and validate vulnerable components automatically

• Develop and maintain infrastructure to support agent operations at scale AIOps, including context management, evaluations and orchestration

• Create agentic workflows that enable multiple agents to collaborate and reason jointly

• Build tools and utilities that agents use (e.g., for image inspection, diff generation, static analysis)

• Implement evaluation and performance measurement methods for agent reliability and accuracy

• Develop hybrid and vector database applications for retrieval and context management

• Build and integrate AI-related apps such as MCP-based systems, chat interfaces, and standalone agent utilities

• Instrument all experiments with tracing, observability, and structured metrics for reproducibility

Must Have

• 5+ years of hands-on experience in software engineering, preferably with exposure to AI-driven products or infrastructure

• Strong proficiency in Python for backend systems, tooling, and AI integration

• Solid foundation in software engineering, infrastructure, and cloud environments

• Proven experience working with LLMs and AI agents in applied settings

• Familiarity with Lang Graph, Lang Chain, OpenAI, Claude Code, and Cursor frameworks

• Strong understanding of Docker and containerized development workflows

• Experience designing or orchestrating multi-agent systems or agentic workflows

• Awareness of context management techniques and prompt/tool/validation loop design

Nice to Have

• Go experience, especially for rebuilding binaries or low-level utilities

• Experience with Argo, Kubernetes, or other orchestration systems

• Background in evaluation frameworks or agent performance measurement

• Experience with code-focused AI agents,developer tools, or App Sec/security automation

• Familiarity with vector databases,RAG pipelines, and graph-based context construction

• Understanding of Dev Sec Ops, App Sec, or software supply chain security concepts