Software Developer - AI Orchestration

:

Chennai, IN, 600 034

Division/Department: Development

Experience: Professional

Job Description

Senior Software Developer - AI Platform Engineering (B2B Integration)

Location: Chennai, India (Hybrid / Remote within India)
Department: Product Development / AI Engineering
Working Model: Agile (Scrum)
Experience: 5-10 Years

About SEEBURGER

SEEBURGER is a global leader in Business-to-Business (B2B) integration, API management, managed file transfer, and digital business process automation.

Our integration platform enables organizations worldwide to connect customers, suppliers, logistics providers, cloud applications, and business systems through a single, scalable integration ecosystem.

As part of our AI Platform Engineering team, you will help build intelligent platform capabilities that combine modern software engineering with Generative AI, Agentic AI, and enterprise-grade integration technologies. Your work will directly contribute to the next generation of AI-powered solutions within the SEEBURGER platform.

Role Overview

We are looking for a highly motivated Senior Software Developer with strong engineering expertise and practical experience in modern AI technologies.

In this role, you will design and develop enterprise-grade services that combine Java-based microservices, cloud-native architectures, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-driven workflows.

You will work closely with software engineers, architects, product owners, and platform teams to deliver scalable, secure, observable, and maintainable solutions for global enterprise customers.

This position is ideal for developers who enjoy building production-ready systems and applying AI technologies to solve real-world business and integration challenges.

Key Responsibilities

Platform Development

• Design, develop, and maintain enterprise-grade backend services using Java and Spring Boot.
• Build scalable microservices and APIs that support AI-enabled platform capabilities.
• Develop integrations between internal systems, cloud services, and external AI platforms.
• Implement event-driven architectures using Kafka or similar messaging technologies.
• Contribute to platform components that support enterprise-scale B2B integration scenarios.

AI Engineering

• Develop AI-powered application features using Large Language Models (LLMs).
• Implement Retrieval-Augmented Generation (RAG) solutions, semantic search, and knowledge retrieval capabilities.
• Design prompt orchestration, context management, and AI workflow logic.
• Integrate AI tools, external services, and agent-based workflows into enterprise applications.
• Contribute to the implementation of AI governance, guardrails, and responsible AI practices.
• Evaluate and adopt emerging AI frameworks, technologies, and engineering approaches.

Cloud DevOps

• Develop and deploy cloud-native applications on modern cloud platforms.
• Build and maintain containerized workloads using Docker and Kubernetes.
• Contribute to CI/CD pipelines, deployment automation, and release processes.
• Support platform scalability, reliability, resilience, and operational excellence.

Engineering Excellence

• Implement automated testing strategies including unit, integration, and component testing.
• Participate in architecture discussions, design reviews, and code reviews.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.