ai engineer (up to 12k).

Tasks

• Build an AI-powered intent generation tool that extracts intents and answers from PRDs, and generates sample user queries to help the CS team build RAG knowledge bases more efficiently.
• Develop an intent similarity detection pipeline using semantic search to identify duplicate or highly similar intents, and integrated it into the intent generation workflow for knowledge base quality control.
• Enhance the intent management platform by implementing review and approval workflows, production gating, distributed task persistence, and multi-worker task recovery.
• Researche Voice AI for potential integration into the existing chatbot, evaluating speech recognition, text-to-speech, and system architecture.

Key Skills Required

• Agentic Frameworks: Hands-on experience with frameworks like LangChain, LangGraph, or, CrewAI
• LLM Architectures & Tool Use: Expertise in prompt engineering, fine-tuning, function calling/API integration, and evaluation frameworks for LLM-driven agents.
• Programming & Systems: Advanced Python skills; familiarity with microservices, Docker, REST APIs, and event-driven architectures.
• Vector Databases & Storage: Proficiency with vector stores (e.g., Pinecone, Qdrant, Chroma, Milvus) for memory persistence and context retrieval.