AI/ML Engineer (RAG & Conversational AI) | Full-Time W2 | No C2C

AI/ML Engineer (RAG & Conversational AI) | Full-Time W2 | No C2C Job Description: AI/ML Engineer (RAG & Conversational AI) Location: Sunnyvale, CA Experience: [3-7+ years] We're looking for an AI/ML Engineer to build and deploy production RAG systems and LLM-powered applications, including conversational experiences delivered over WhatsApp. Required Qualifications * Bachelor's or Master's in Computer Science, AI/ML, or a related field (or equivalent experience). * Hands-on RAG experience in production: embeddings, vector databases, hybrid search. * Strong Python (or Java or similar) with solid engineering fundamentals. * Experience with LLM APIs and open-source models. * Experience building REST APIs (FastAPI, Flask, Spring Boot). * Working knowledge of SQL/NoSQL databases, Docker, and cloud services. * WhatsApp integration experience is a big plus Responsibilities * Build and optimize RAG pipelines: ingestion, chunking, embeddings, indexing, retrieval, re-ranking, and generation. * Integrate LLMs (OpenAI, Claude, Llama, etc.) using LangChain, LlamaIndex, or custom orchestration. * Manage vector search infrastructure (Pinecone, Weaviate, Qdrant, FAISS, pgvector). * Develop chatbots and integrate them with the WhatsApp Business / Cloud API (webhooks, templates, session handling). * Implement prompt engineering, guardrails, and multi-turn context management. * Evaluate retrieval quality, accuracy, hallucination rate, latency, and cost. * Build and deploy scalable backend APIs on AWS, Azure, or GCP. * Handle user data and PII securely and in compliance with privacy requirements. Preferred (Big Plus) * WhatsApp integration experience: Cloud API, Twilio, Gupshup, or 360dialog, including opt-in and compliance requirements. * Other messaging channels (Slack, Telegram, SMS, Teams). * Agentic workflows, tool calling, and evaluation tools (RAGAS, LangSmith). * Fine-tuning (LoRA/PEFT) and MLOps experience. Show more Show less