Conversational AI Agent Developer

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About the Role

Conversational AI Agent Developer

Key Responsibilities

• Design and develop

  conversational AI agents

  using modern

  LLMs

  for healthcare use cases
• Build

  multi-agent / agentic AI systems

  using frameworks such as

  LangGraph, LangChain, Google ADK

  , or similar
• Develop AI agents that support

  multi-turn dialogue

  ,

  context retention

  , and

  personalized responses

• Implement

  RAG (Retrieval-Augmented Generation)

  pipelines using vector databases (FAISS, Pinecone, Weaviate, etc.)
• Integrate AI agents with healthcare data sources such as

  EHRs, FHIR APIs, clinical guidelines, PDFs, and databases

• Implement

  guardrails

  for safety, hallucination control, bias mitigation, and compliant responses
• Implement

  speech-to-text (STT)

  and

  text-to-speech (TTS)

  for voice-enabled AI agents (as required)
• Build scalable backend services and APIs using

  Flask / FastAPI

• Ensure

  HIPAA/GDPR-aligned privacy and security practices

Required Skills & Qualifications

• Strong experience in

  Python

  (including APIs and async programming)
• Hands-on experience with

  LLMs

  (OpenAI / GPT-4, Gemini, Claude, Med-PaLM, Llama 3, etc.)
• Proven experience building

  Conversational AI / Chatbots / AI Assistants

• Solid understanding of

  prompt engineering

  , tool calling, and agent orchestration
• Experience with

  RAG architectures

  and

  vector databases

• Familiarity with

  REST APIs

  , microservices, and cloud platforms (

  AWS / GCP / Azure

  )
• Understanding of healthcare data standards such as

  FHIR and HL7

  (preferred)

Interested?

careers@sidinformation.com