AI Native SW Engineering
Core
Design, build, and deploy production-grade agentic AI systems (multi-agent orchestration, RAG pipelines, tool invocation) for enterprise clients.
Role type
Senior IC AI Engineer (Agentic/Applied)
Builds
Production agentic architectures, RAG pipelines, and reusable AI patterns/accelerators for enterprise clients.
Domain
Enterprise AI / Agentic Systems / LLM Operations
Deliverable
production ML models
Required skills
Agentic orchestration frameworks (LangGraph, CrewAI, AutoGen), LLM API integration (OpenAI, Anthropic, Vertex AI), RAG pipeline ownership, LLMOps (eval harnesses, prompt versioning, observability), Cloud-native engineering (Kubernetes, Docker, Terraform), Python, Production debugging
Preferred skills
Experience shipping multiple production agentic systems, Vendor fellowship access (Anthropic, OpenAI, Microsoft, Google)
Technologies
LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Vertex AI, LangSmith, Braintrust, Kubernetes, Docker, Terraform, Helm
Responsibilities
Design and build production-grade agentic systems end-to-end; Build and own RAG pipelines; Integrate and abstract across multiple LLM providers; Implement LLMOps in production; Embed with client engineering teams to design and deploy solutions; Build reusable patterns and accelerators; Define and use metrics to measure agent performance
Seniority
Senior, hands-on IC
