AI/NLP Engineer
Description
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.
