Platform AI Engineer

Responsibilities:

• Build scalable and reusable AI services, APIs, SDKs, and backend components.
• Design and implement production-grade RAG pipelines, including embeddings, chunking, retrieval, vector search, and reranking.
• Integrate LLM APIs, structured outputs, function/tool calling, and multimodal capabilities.
• Build AI orchestration and agentic workflows using LangChain, LangGraph, or equivalent.
• Work with vector databases such as Pinecone, Weaviate, Chroma, FAISS, OpenSearch, or Elasticsearch.
• Develop production-ready AI systems with evaluation, guardrails, observability, and governance.

Requirements:

• 7-10 years of software/backend engineering experience.
• Node.js and TypeScript are mandatory.
• Strong RAG + LLM experience.
• LangChain / LangGraph or equivalent.
• Embeddings, vector search, and vector databases.
• AI agents/tool calling/orchestration.
• Strong experience building reusable APIs, SDKs, or platform components.
• Good understanding of scalable backend and AI application architecture.

Good to Have:

• AI evaluation/hallucination detection.
• Fine-tuning / LoRA / QLoRA.
• AI security, guardrails, and PII handling.
• Hugging Face / Ollama
• React / Angular / Web Components.