AI Engineer (Up to 12k)
Summary
Build and improve AI-powered intent tools using LLM frameworks, vector databases, and microservices to automate knowledge base creation and quality control for chatbots.
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.
experience
4 years
skills
Python, SQL, Langchain, LangGraph
qualifications
Bachelors in Computer Science, Data Science, Artificial Intelligence, or Information Technology
education
Bachelor Degree