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Key Responsibilities:*Develop and maintain FastAPI-based microservices for the AI backend.*Implement LLM-powered workflows using LangChain and LangGraph for reasoning and task orchestration.*Integrate speech recognition (ASR) and text-to-speech (TTS) solutions such as Whisper, Deepgram, or ElevenLabs.*Design and manage vector databases (Pinecone) for memory and context retrieval.*Build retrieval-augmented generation (RAG) pipelines to enhance response accuracy*Connect AI logic with practice management and scheduling APIs*Deploy and monitor systems on AWS Cloud (Lambda, ECS, API Gateway, S3).*Collaborate closely with front-end (React/Tailwind) and product teams to align AI capabilities with UX goals.*Ensure compliance with data privacy and security standards (HIPAA readiness).
Tech Stack:*Backend: Python, FastAPI*AI / LLMs: LangChain, LangGraph, OpenAI API, RAG pipelines*Vector DB: Pinecone*Speech Tech: Whisper / Deepgram (STT), ElevenLabs / Play.ht (TTS)*Database: PostgreSQL / Redis*Cloud: AWS (Lambda, ECS, S3, CloudWatch)*Integrations: Twilio / WebRTC, RESTful APIs
Job Type: Full-time
Work Location: In person
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