Software Engineer - AI/ML
Core
Design, build, and secure agentic AI systems and LLM-powered applications, integrating them with internal/external systems while embedding security throughout the lifecycle.
Role type
Senior IC AI/ML Engineer (Agentic Systems & Security)
Builds
Agentic RAG pipelines, multi-agent workflows, tool-using assistants, and secure AI infrastructure
Domain
Enterprise AI, Software Security, Autonomous Agents
Deliverable
production ML models | product features | infrastructure
Required skills
Agentic AI system design, LLM orchestration, Python/JavaScript/TypeScript/Go, API integration, Model evaluation, Fine-tuning (LoRA/QLoRA/DPO/RLHF), Security best practices
Preferred skills
Cybersecurity background, MCP/A2A protocols, Secure multi-tenant AI infrastructure, Guardrail systems, AI gateways
Technologies
LangGraph, DeepAgents, Claude, OpenCode, MCP, lm-evaluation-harness, HELM
Responsibilities
Design and implement agentic AI systems with tool use and planning loops; Build, evaluate, and deploy LLM-powered applications; Integrate AI agents with systems via APIs and MCP servers; Develop evaluation harnesses and red-team test suites; Fine-tune open-weight models; Collaborate with engineering teams for deployment
Seniority
Senior, hands-on IC
