About The Position

This role focuses on developing and enhancing the Agent Gateway and AI Experience for a conversational AI platform. The engineer will work with technologies like Java, Spring Boot, Python, RESTful APIs, Apache Kafka, and GraphQL. A key aspect of the role involves leveraging AI and conversational AI frameworks such as Google Dialogflow CX, understanding LLMs, agentic architectures, and prompt engineering. Experience with ADK, Playbook, and machine learning fundamentals is also important. The position requires strong problem-solving, debugging, and communication skills, with experience in microservices, CI/CD, and cloud-native environments.

Requirements

  • 8 years of strong experience in Java development, including proficiency in Spring SpringBoot.
  • 2-3 years of experience with Python, focused on backend or data-driven development.
  • Strong experience in building and consuming RESTful APIs.
  • Strong understanding of Reactive Programming (WebFlux, etc.).
  • Hands-on experience with Apache Kafka for event-driven architecture.
  • Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
  • Experience with Flink for stream processing and data pipelines.
  • GraphQL knowledge.
  • Strong understanding of Google Dialogflow CX or similar conversational AI frameworks.
  • Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
  • Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
  • Conceptual understanding of machine learning fundamentals and model telemetry.
  • Strong problem-solving and debugging skills.
  • Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
  • Excellent communication skills; ability to collaborate across engineering and product teams.
  • Bachelor's or master's degree in computer science, Engineering, or related field.

Nice To Haves

  • Prior experience in banking, fintech, or digital assistant platforms is an advantage.

Responsibilities

  • Develop and enhance the Agent Gateway and AI Experience.
  • Build and consume RESTful APIs.
  • Implement event-driven architecture using Apache Kafka.
  • Utilize Flink for stream processing and data pipelines.
  • Work with GraphQL.
  • Leverage Google Dialogflow CX or similar conversational AI frameworks.
  • Apply knowledge of LLMs, agentic architectures, and prompt engineering.
  • Utilize ADK, Playbook, or similar agentic frameworks.
  • Apply machine learning fundamentals and model telemetry.
  • Collaborate across engineering and product teams.
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