AI Chatbot Engineer

About the Role

Our client is seeking a talented and creative AI Chatbot Engineer to build and optimize intelligent conversational agents across digital platforms. This role involves designing natural, context-aware chatbot experiences powered by LLMs, NLU/NLP models, and dialog systems that deliver value across customer-facing and internal applications.

You will collaborate with product managers, designers, and data scientists to integrate the latest advancements in Generative AI, Large Language Models, and conversational frameworks.

Key Responsibilities

• Design, develop, and deploy AI-powered chatbots for web, mobile, or messaging platforms

• Build and fine-tune natural language understanding (NLU) pipelines for intent classification, entity recognition, and dialog flow

• Integrate with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or fine-tune open-source models (e.g., LLaMA, Mistral, Falcon)

• Create context-aware dialogue flows using Rasa, Dialogflow, BotPress, or custom frameworks

• Implement conversation memory, embeddings, and vector search to enhance personalization and accuracy

• Analyze and improve chatbot performance using metri    cs such as F1-score, retention, and deflection rate

• Work closely with back-end engineers to integrate chatbots with internal tools, CRMs, and external APIs

• Stay up to date with trends in LLMs, RAG (Retrieval-Augmented Generation), and multimodal chatbots

Required Skills & Experience

• 3–7 years of software engineering experience, with at least 1–2 years in NLP or chatbot development

• Strong Python skills; familiarity with LangChain, Rasa, FastAPI, Flask, or equivalent

• Experience with LLMs, OpenAI APIs, Hugging Face Transformers, or similar libraries

• Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS)

• Experience with NLU tools like SpaCy, Dialogflow, Wit.ai, or custom NLP pipelines

• Comfortable with REST APIs, WebSockets, and asynchronous programming

• Familiarity with version control, CI/CD, and cloud deployment (AWS, GCP, Azure)

Bonus Points For

• Experience with voice assistants (e.g., Alexa Skills, Google Assistant)

• Knowledge of Reinforcement Learning from Human Feedback (RLHF) or prompt engineering

• UI/UX design familiarity for chatbot interactions

• Contributions to open-source NLP/chatbot tools

What You’ll Get

• Opportunity to work at the forefront of AI and conversational interfaces

• Collaborative, startup-like culture focused on innovation and impact

• Competitive salary, stock options, and full benefits

• Flexible work environment and remote opportunities