Conversational AI Agents Developer

Sybrant Technologies P

2 - 5 years

4 - 7 Lacs

chennai

Posted:17 hours ago| Platform:

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Skills Required

usage gcp cloud programming deployment management digital transformation aws analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role:

Design and build advanced conversational AI agents that engage in human-like dialogue using Python and modern NLP/LLM technologies.

Requirements

Develop conversational AI agents that handle multi-turn dialogues, context retention, and personalized responses
Use Python with frameworks like LangChain, AutoGen, Rasa, or OpenAI s Assistants API to build dialogue systems
Integrate LLMs (GPT-4, Claude, Gemini, Llama 3) with speech-to-text/text-to-speech (TTS/STT) for voice-enabled agents (if needed)
Implement memory & context management (e.g., using vector DBs like Pinecone or Redis)
Optimize conversational flows using prompt engineering, fine-tuning, or RAG (Retrieval-Augmented Generation).
Deploy agents on messaging platforms (Slack, WhatsApp, Teams) or voice assistants (Alexa, Google Assistant).

Required Skills:

Strong Python programming (async, APIs, Flask/FastAPI)
Experience with AI agent frameworks (LangChain, AutoGen, CrewAI, etc.)
Knowledge of LLM integration (OpenAI, Anthropic, Mistral, etc.)
Familiarity with API interactions (REST, GraphQL
Apply prompt engineering strategies to guide and control LLM outputs

Good to Have (Added Advantage):

Experience with RAG (Vector DBs like Pinecone, FAISS, Weaviate)
Knowledge of vector databases (for chatbot memory)
Deployment on cloud platforms (AWS Lambda, GCP, Azure Bot Service)

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