> Markdown version of [/jobs/ext/3638965-sr-conversational-ai-engineer-rasa-plano-tx-onsite](https://www.wearedevelopers.com/jobs/ext/3638965-sr-conversational-ai-engineer-rasa-plano-tx-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Conversational AI Engineer (RASA) Plano TX -Onsite - **Company:** Stellent IT LLC - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Amazon Web Services, Communications Protocols, Software Debugging, JSON, Python (Programming Language), Chatbots, Spring Cloud, Multi-Agent Systems, Spring-boot, Agentic-AI, Natural Language Understanding, Web Api, Agent2Agent Protocol - **Published:** October 8, 2026 - **Apply:** https://www.careerjet.com/jobad/us87979be6e8ea3ca2ac570bdf10189b95 ## About the Role Strong hands-on experience in Python development Experience with RASA Conversational AI framework Exposure to Agentic Systems and Agent-to-Agent (A2A) communication Knowledge of JSON-RPC protocols Preferred / Nice to Have Experience with Google Agent Development Kit (ADK) Python with Java experience (huge plus) Java Spring Boot / Spring Cloud exposure AWS exposure Experience with LangChain / LangGraph ## Description We are looking for a strong Python Engineer with hands-on experience in conversational AI and agentic systems development. The ideal candidate should have strong expertise in the RASA Conversational AI framework and exposure to modern multi-agent architectures and communication protocols. Key Responsibilities Design, develop, and deploy advanced conversational agents using RASA and related frameworks Integrate multi-agent systems using Agent-to-Agent (A2A) communication protocols Leverage Google Agent Development Kit (ADK), LangChain, and LangGraph for scalable agent development Collaborate with cross-functional teams to deliver end-to-end conversational AI experiences Design NLU pipelines, dialogue management workflows, and custom actions Integrate RASA bots with external APIs and enterprise systems Troubleshoot, debug, and resolve issues in multi-agent environments