Conversational AI / Generative AI Chatbot Engineer

Role: Conversational AI / Generative AI Chatbot Engineer
Location: Remote

Type: Long-term

Skills and Experience Requirements:

SkillsetExperience (Years)Rating (0-5)Chat Bot DevelopmentConversational AIArtificial IntelligenceMachine LearningGenerative AINatural Language Processing (NLP)Microsoft BIT FrameworkInteractive Voice Response (IVR)REST APIs and UI CapabilitiesPython/Javascript/Node.jsPyTorch/TensorflowBankingAWS/Azure/GCPDevOpsKnowledge ManagementAutomation & OrchestrationVisualizationBackend knowledge

Role Description:
We are seeking an experienced and innovative Senior Chatbot Engineer with expertise in creating intelligent, interactive chatbot solutions. The ideal candidate will have extensive knowledge in systems integration, scalable chatbot development, and AI/ML model implementation for seamless enterprise application integration.

Key Responsibilities:

• Design and develop intuitive and user-friendly conversational chatbot experiences capable of multi-turn interactions with contextual understanding.

• Implement Natural Language Processing (NLP) models for accurate user input interpretation, intent recognition, sentiment analysis, and predictive analytics.

• Continuously improve chatbot accuracy and relevance through feedback loops and analysis of user interaction data.

• Integrate chatbots with enterprise systems, databases, and observability tools for real-time data retrieval and analysis.

• Ensure secure, scalable, and reliable connections between chatbots and external systems, enabling real-time insights and actions.

Skillset and Expertise:

• Proficiency in chatbot frameworks like Microsoft Bot Framework, Google Dialogflow, or similar platforms.

• Strong understanding of NLP techniques and libraries for building context-aware conversational AI.

• Expertise in Python, JavaScript (Node.js), or Go with backend services and system integration experience.

• Hands-on experience with RESTful APIs and API security best practices.

• Knowledge of observability tools (e.g., Prometheus, Grafana) and integrating chatbots with databases and cloud services.

• Experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for developing intent recognition models and recommendation engines.

• Familiarity with deploying and scaling chatbots on cloud platforms (AWS, Azure, GCP) and managing ML models in cloud environments.

Preferred Experience:

• Interactive Voice Response (IVR) chatbot development.

• Full lifecycle development of intelligent chatbots with integration into upstream and downstream systems.

• Ability to proactively build, test, and enhance chatbot capabilities with minimal supervision.

Additional Requirements:

• Smart, proactive, and capable of handling end-to-end chatbot development.

• Strong background in banking or finance-related chatbot solutions (preferred but not required).

• Proven track record of successfully delivering complex chatbot projects in enterprise environments.