AI Native Software Engineer
Core
Design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack, working directly with client engineering teams to lead technical design sessions and build reusable patterns.
Role type
Senior IC agentic AI software engineer (multi-agent systems)
Builds
Production agentic architectures, RAG pipelines, multi-LLM integration systems, and LLMOps tooling
Domain
Enterprise AI, Agentic Systems, Cloud-native engineering
Deliverable
production ML models
Required skills
Agentic orchestration frameworks (LangGraph, CrewAI, AutoGen), LLM API integration, RAG pipeline ownership, LLMOps, Cloud-native engineering (Kubernetes, Docker, Terraform), Python, Team management
Preferred skills
Experience managing and developing a team of engineers, Shipped multiple production agentic systems
Technologies
LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Vertex AI, Kubernetes, Docker, Terraform, Helm
Responsibilities
Architect and govern production-grade agentic systems at enterprise scale, Define RAG pipeline standards, Set multi-LLM integration standards, Own LLMOps at programme scale, Lead client engineering engagements, Shape and publish reusable patterns, Own the measurement framework for agentic system quality
Seniority
Senior, hands-on IC with people lead responsibilities
