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AI/NLP Engineer
2 weeks ago
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