Python Developer (Backend) - Bengaluru

Overview

Join the AI Platform Team at Omnissa to design, develop and integrate AI-powered application features across the Omnissa product ecosystem, working on a platform that manages millions of devices.

What you'll do

• Design, develop and deliver AI-powered application features and services.
• Build and integrate AI capabilities such as LLM-based features, automation workflows and intelligent user experiences into applications.
• Develop backend services, APIs and application logic that interact with AI/ML systems and models.
• Collaborate with AI/ML engineers to integrate models into production-grade applications.
• Build scalable and reliable distributed systems, ensuring performance and high availability.
• Implement observability, monitoring and logging for AI-driven application components.
• Participate in system design, architecture discussions and code reviews.
• Continuously improve system performance, reliability and developer productivity.
• Stay current with advancements in AI technologies (e.g., LLMs, embeddings, agent frameworks) and apply them to product use cases.

What you'll need

• 8 to 16 years of experience as a Software Engineer role in building scalable applications.
• Strong proficiency in Python and at least one additional programming language (Java, Go, or C++).
• Experience developing backend systems, APIs and microservices architectures.
• Experience building scalable services using REST/gRPC APIs.
• Experience integrating AI/ML capabilities into applications (e.g., APIs for LLMs or ML services).
• Strong understanding of data structures, algorithms and system design principles.
• Experience with containerization and orchestration technologies.
• Strong problem-solving skills and ability to collaborate effectively in Agile environments.
• Highly motivated, adaptable and eager to learn new technologies.

Nice to have

• Experience building applications using LLMs, RAG systems or AI agents.
• Familiarity with vector databases and embedding models.
• Experience with orchestration frameworks (e.g., LangChain, LangGraph).
• Knowledge of real-time data processing and event-driven architectures.
• Exposure to observability tools and monitoring systems for AI applications.

Details

• Location: Bengaluru, India.