Job Description

Responsibilities:

• Design and implement RASA-based virtual assistants, including NLU pipelines and dialogue management.
• Develop custom Python actions and integrate with APIs and backend systems.
• Configure and optimize RASA Core policies for multi-turn conversations and fallback handling.
• Deploy chatbots using Docker/Kubernetes and manage CI/CD pipelines.
• Monitor bot performance, analyze logs, and improve NLU accuracy through data refinement.

Required Skills:

• Hands-on experience with RASA (NLU, Core, custom actions).
• Strong Python programming and API integration skills.
• Familiarity with conversational AI design principles and LLM/RAG integrations.
• Knowledge of Docker, Kubernetes, and CI/CD workflows.

Preferred:

• Experience with cloud platforms (AWS/Azure/GCP).
• Familiarity with LangChain, Hugging Face, or other GenAI frameworks.

Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company, Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development, Projects, Requirements Analysis, Software Design, Software Implementation, Efficient Build, Release Process, and turnkey software V & V Services. We have more than 20+ years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment, connected vehicles, Cyber security, OTA, and Advanced Safety/ Body electronics.

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