Role overview
We are looking for an AI Full-Stack / Systems Engineer to build scalable backend services and platform components that power enterprise AI applications and agent-based workflows.
The role focuses on LLM integrations, AI orchestration frameworks, RAG-based knowledge systems, and production-grade AI infrastructure used by multiple engineering teams.
This engineer will work closely with platform, architecture, and application teams to build secure, reliable, and governed AI systems at enterprise scale.
What you'll work on
- Build backend services supporting AI agents and multi-step AI workflows
- Develop LLM integration layers and model service APIs
- Implement RAG pipelines including document ingestion, embeddings, and vector retrieval
- Build orchestration frameworks connecting models, tools, and enterprise APIs
- Implement AI safety controls, guardrails, and policy enforcement
- Develop observability, monitoring, and cost tracking for AI systems
- Integrate AI systems with enterprise platforms and internal services
What we're looking for
- Experience with LangChain, LlamaIndex, or agent orchestration frameworks
- Experience building AI platform components or internal developer platforms
- Exposure to AI governance, guardrails, and evaluation frameworks
- Experience operating systems in enterprise or regulated environments
Tags & focus areas
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