Platform AI Engineer

Responsibilities:

• Build reusable AI services, SDKs, APIs, and platform components using Node.js and TypeScript.
• Design and implement scalable RAG pipelines using embeddings, vector databases, semantic search, chunking, and retrieval strategies.
• Integrate LLMs and AI APIs for chat, embeddings, structured outputs, tool calling, and multimodal use cases.
• Develop AI orchestration and agentic workflows using LangChain, LangGraph, or equivalent frameworks.
• Build platform capabilities for prompt management, response validation, guardrails, observability, and governance.
• Evaluate and optimise AI systems for accuracy, latency, cost, security, scalability, and maintainability.
• Collaborate with Product, Architecture, Frontend, and Backend teams to deliver enterprise-grade, reusable AI foundations across multiple products.