What is the opportunity?

Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team , responsible for building and enabling AI-driven application experiences across the Omnissa product ecosystem.

As an AI Application Software Engineer , you will design, develop, and integrate intelligent application features powered by AI/ML technologies, including LLMs and data-driven components. You will work closely with platform, product, and engineering teams to deliver seamless AI-powered capabilities within a cloud-scale environment while adhering to strong software engineering practices.

You will own engineering initiatives end-to-end and help foster a culture of high ownership, continuous improvement, and engineering excellence.

Responsibilities

- 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 will you bring to Omnissa? Required Skills & Experience

- 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).
- Robust 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.

Preferred Skills

- 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.

Location: Bengaluru, India Location Type: Hybrid, NO REMOTE

This role offers a balanced arrangement, with the expectation of working 3 days a week in our local office and the flexibility to work from home for the remaining days. It is essential that you reside within a reasonable commuting distance of the office location for the in-office workdays.

📌 Python Developer (Bengaluru)
🏢 Omnissa
📍 Bengaluru