Conversational AI analytics and developer

Job Description

Responsibilities: Design, develop & test chatbots using Conversational AI, Dialogflow & Amazon Lex. Collaborate with cross-functional teams on bot integration & optimization. Here’s a tailored job description for a Conversational AI Developer with Analytics focus—perfect for roles that blend natural language tech with data-driven insights: Job Title: Conversational AI Developer & Analytics Specialist Job Summary We’re seeking a skilled developer to design, build, and optimize conversational AI systems—chatbots, voice assistants, and virtual agents—while leveraging analytics to enhance user experience and business outcomes. You’ll work at the intersection of AI, NLP, and data science to create intelligent, adaptive, and insightful conversational interfaces. Key Responsibilities Design and develop conversational agents using platforms like Dialogflow, Amazon Lex, Rasa, or Microsoft Bot Framework. Integrate AI solutions with backend systems, APIs, and databases. Implement NLP and NLU models to improve intent recognition and contextual understanding. Analyze user interaction data to identify trends, optimize flows, and improve engagement. Collaborate with UX designers, data scientists, and product managers to align AI behavior with user needs. Monitor and fine-tune bot performance using analytics dashboards and A/B testing. Ensure compliance with data privacy and ethical AI standards. Required Skills Proficiency in Python, JavaScript, or Node.js. Experience with NLP libraries (spaCy, NLTK) and ML frameworks (TensorFlow, PyTorch). Strong understanding of analytics tools (e.g., Google Analytics, Power BI, or custom dashboards). Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. Excellent problem-solving and communication skills. Preferred Qualifications 2–5 years of experience in conversational AI or chatbot development. Background in data science or analytics. Experience with LLMs and prompt engineering is a plus. If you’d like, I can help you tailor this for a specific company or role—or even turn it into a compelling LinkedIn summary. Want to go that route?