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AI/NLP Engineer

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Description

We are seeking a skilled and passionate AI/NLP Engineer to design, develop, and deploy intelligent chatbot solutions using cutting-edge NLP techniques and tools. The ideal candidate will have hands-on experience with frameworks such as Rasa, Dialogflow, and modern LLM APIs (e.g., OpenAI, Claude), and a strong foundation in Python and deep learning libraries. You will play a crucial role in enhancing our conversational AI capabilities by building robust and scalable NLP pipelines and chatbot systems.

Key Responsibilities:

  • Design, build, and train intelligent chatbots tailored to business requirements

  • Develop and fine-tune NLP models using tools like Rasa, Dialogflow, and LangChain

  • Integrate large language models (LLMs) via APIs such as OpenAI, Claude, and others

  • Implement NLP workflows including intent recognition, entity extraction, and dialogue management

  • Collaborate with product, design, and engineering teams to deliver high-impact AI-driven solutions

  • Optimize and scale NLP systems for performance, accuracy, and reliability

  • Continuously evaluate and implement new tools, techniques, and industry best practices in NLP and AI



Requirements

  • Bachelor's or Master’s degree in Computer Science, AI, Data Science, or a related field

  • Proven experience with Python and relevant AI/ML libraries (TensorFlow, PyTorch)

  • Hands-on experience with Rasa, Dialogflow, or similar conversational AI frameworks

  • Familiarity with LLM APIs such as OpenAI GPT, Claude, etc.

  • Experience with LangChain or similar frameworks for building with LLMs

  • Strong understanding of NLP concepts like intent classification, NER, and sentiment analysis

  • Ability to work with RESTful APIs and integrate AI models into applications

  • Excellent problem-solving and communication skills

Preferred Qualifications:

  • Experience with chatbot deployment in cloud environments (e.g., AWS, Azure, GCP)

  • Knowledge of vector databases and retrieval-augmented generation (RAG) techniques

  • Experience working in agile teams and DevOps environments

  • Contributions to open-source NLP or AI projects is a plus



Benefits

  • Competitive Salary based on experience and skillset.
  • Health Insurance & OPD Coverage.
  • Annual Performance Bonuses.
  • Flexible Work Environment (with Remote Work options where applicable).
  • Professional Growth through training and mentorship.
  • Collaborative Work Culture with a supportive team.
  • Timely Salary Payments.


Skills

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See also

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