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Conversational AI Agents Developer

Posted on

Experience
2 - 5 yrs
Job Location
Chennai, India
Vacancy
1
Designation
Artificial Intelligence Developer
Job Type
ONSITE

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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