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Job Description

Skills and qualifications required :


- 5Years in AI/ML/NLP roles, including production experience.


- Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn.


- Hands-on with LLMs and modern NLP stacks (e.g., LangChain, RAG, OpenAI APIs, HuggingFace).


- Experience with Conversational AI, including NLU/NLG, dialogue management, and speech processing.


- Experience building chatbots or voice agents using Twilio, VAPI, Dialogflow, or WebRTC.


- Proven experience building RAG pipelines and integrating vector databases.


- Hands on experience with Python, FastAPI is a must.


Key Responsibilities :


- Design, develop, and deploy production-grade AI/ML and NLP systems.


- Build and optimize LLM-powered applications, including RAG pipelines.


- Develop conversational AI solutions covering NLU, NLG, dialogue management, and speech processing.


- Implement chatbots and voice agents using platforms such as Twilio, VAPI, Dialogflow, or WebRTC.


- Integrate vector databases for semantic search and knowledge retrieval.


- Develop and maintain Python-based APIs and services using FastAPI.


- Work with modern AI frameworks and orchestration tools (LangChain, HuggingFace, OpenAI APIs).


- Collaborate with product, backend, and DevOps teams to productionize AI solutions.

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