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Healthcare communication is broken. At PypeAI, we are building the Operating Layer for healthcare voice first agents that manage the entire patient journey, from clinical triage to automated follow-ups. We are building the infrastructure for autonomous healthcare coordination.
As an AI Engineer, you won't be on the sidelines; you'll be at the core of our engine. You will work directly on our Voice-to-Voice (V2V) pipeline, pushing the boundaries of what's possible in real-time, empathetic, and clinically reliable AI.
Qualification
We are looking for someone who doesn't just use AI but understands how it breathes.
What you can expect
Do want to build the future of healthcare Or want to work on Voice AI that actually matters, we want to hear from you.
Job ID: 140501803
Skills:
Logging, Microservices, Tensorflow, Pytorch, Docker, Python, Apis, MLops, Security Controls, FastAPI, Kubernetes, data pipelines, AI GenAI applications, tool integrations, vector databases, production-ready AI systems, LangGraph, AWS AI services, RAG architectures, LangChain, Agentic AI frameworks, LLMs, Monitoring, prompt engineering, MCP Model Context Protocol, Amazon Bedrock, LlamaIndex, Governance
Skills:
Java, Tensorflow, Pytorch, MLops, Spark, Kafka, Python, scikit-learn, deep learning concepts, Generative AI models, neural network architectures
Skills:
Machine Learning, Hadoop, Hipaa, Sql, Deep Learning, Tensorflow, Pytorch, Gcp, Cloud, Hl7, Docker, Spark, Azure, Kubernetes, Python, AWS, GitOps, Scikit-learn, FHIR, CI CD, CICD Pipelines, AIML Engineering
Skills:
Pytorch, Docker, data structures, Azure, Kubernetes, Python, PEFT, Transformers, DPO, Multi-GPU Finetuning, trl, LORA, deepspeed, NLP techniques

Skills:
Retrieval-Augmented Generation (RAG), Sql, Python, Azure, Gcp, Microservices, Tensorflow, Pytorch, AWS, ML Frameworks, Generative AI Concepts, Agentic AI Frameworks, Cloud Platforms, Prompt Engineering, Vector Databases, Pinecone, Weaviate
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