Java / AI Engineer - Conversational AI & Agentic Systems
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Role details
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Job description
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Develop conversational agents using RASA.
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Build and integrate multi-agent systems using A2A communication.
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Design NLU pipelines, dialogue management workflows, and custom actions.
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Integrate conversational bots with external APIs and enterprise systems.
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Support scalable agent development using Google ADK, LangChain, and LangGraph.
Important: Strong Python and RASA experience are essential. Java experience is a significant plus. Candidate Submission Details Please share the candidate’s updated resume along with the following information: * Candidate Full Name:
- Current Location:
- Contact Number:
- Email Address:
- Visa Status:
- Overall IT Experience:
- Relevant Experience:
- Current Pay Rate:
- Expected Pay Rate:
- Availability to Join:
- Confirmation of Onsite Availability:
- LinkedIn Profile
Requirements
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RASA Conversational AI framework.
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Exposure to agentic AI systems and Agent-to-Agent (A2A) communication.
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Knowledge of JSON-RPC protocols.
Preferred Skills:
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Google Agent Development Kit (ADK).
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LangChain and LangGraph.
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Java, Spring Boot, and Spring Cloud.
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AWS cloud services.
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