Role Overview :

As an AI Platform Integration Engineer based in Bangalore, you will serve as the technical bridge between complex AI models and the enterprise ecosystem.

You will spend your day architecting robust data pipelines, designing scalable API layers, and ensuring that our AI services integrate seamlessly with existing business infrastructure.

You will collaborate closely with data scientists, product managers, and cross-functional engineering teams to translate experimental models into production-grade solutions.

Key Responsibilities :

- Engineer high-performance RESTful APIs to expose AI capabilities to internal and external applications, ensuring low-latency communication across the enterprise.

- Orchestrate containerized deployments using Docker to maintain consistent environments across development, staging, and production clusters.

- Implement asynchronous processing patterns to handle high-volume data streams, ensuring system responsiveness and fault tolerance during peak loads.

- Optimize database interactions and query performance to support the rapid data retrieval needs of machine learning models.

- Manage cloud-native infrastructure deployments to ensure high availability and scalability of integrated AI services for global stakeholders.

Required Skillset :

- Demonstrated expertise in building enterprise-grade integration layers that connect disparate systems with AI-driven backends.

- Proven ability to containerize applications using Docker and manage orchestration in cloud environments to ensure seamless deployment cycles.

- Strong proficiency in designing and maintaining RESTful services and asynchronous messaging queues to support complex, distributed architectures.

- Deep understanding of database management and optimization techniques, ensuring data integrity and performance at scale.

- Exceptional communication skills, with the ability to articulate complex technical trade-offs to non-technical stakeholders and cross-functional teams.

- A Bachelors or Masters degree in Computer Science or a related field, combined with 3 to 7 years of hands-on experience in backend or platform engineering.

- High degree of adaptability to work in a fast-paced, hybrid office environment in Bangalore, collaborating effectively with both local and distributed teams.