Job Description

Roles & Responsibilities

Design, develop, and maintain backend services using Java, Spring Boot, and microservices architecture.

Build and manage REST APIs, applying backend-for-frontend (BFF) patterns where appropriate.

Integrate AI platforms such as IBM Watson / watsonx and Microsoft Composer into enterprise-grade solutions.

Support IVR and telephony integrations, ensuring reliable conversational flows across voice and digital channels.

Implement LLM integration patterns, including prompt engineering, retrieval-augmented generation (RAG), and tool calling.

Contribute to agent orchestration and conversational logic across distributed services.

Apply observability best practices using OpenTelemetry to monitor and improve system performance.

Collaborate closely with frontend teams using React and web component architectures.

Embed CI/CD practices, automated testing, and structured release strategies into AI product delivery.

Desired Candidate Profile

Experienced in backend development using Java, Spring Boot, and microservices.

Confident in REST API design, API lifecycle management, and integration patterns.

Familiar with AI and conversational platforms, including IBM Watson / watsonx and Microsoft Composer.

Knowledgeable in IVR and telephony fundamentals within enterprise environments.

Comfortable working with LLM-based systems, including RAG pipelines and agent-based architectures.

Experienced in engineering practices such as CI/CD, test automation, and release management.

Able to collaborate effectively with cross-functional teams, including frontend and AI engineering colleagues.

Curious and adaptable, with interest in emerging areas such as real-time audio, multimodal input, and unified memory architectures.