**Designation :** **Assistant Manager** **Level : L3** **Location :** **Bengaluru, Karnataka , India (BLR)** **Experience : 4 to 8 Years** **Job Role** : We are looking for an AI Software \& Platform Engineer to help build, deploy, operate, and integrate AI\-powered applications and services. The ideal candidate is a strong software/platform engineer with significant hands\-on experience in Python, Kubernetes, Docker, backend systems, and production environments. The role sits at the intersection of software engineering, platform engineering, AI infrastructure, and data engineering. We are therefore looking for engineers with strong technical fundamentals who can learn new technologies quickly and adapt their skills as project requirements evolve. **Responsibilities** : Build and maintain backend services supporting AI\-powered applications. Develop APIs and integrations between applications, services, and data systems. Containerize and deploy applications using Docker and Kubernetes. Develop and maintain CI/CD workflows. Support application deployment, monitoring, reliability, and troubleshooting. Work with engineering teams to improve scalability, reliability, and operational efficiency. Integrate AI agents and LLM\-powered applications with backend services and data sources. Develop and maintain data integrations and pipelines as project needs evolve. Troubleshoot issues across application, infrastructure, and data layers. Contribute to engineering standards, automation, and operational best practices. Learn new technologies, frameworks, and platforms as required. **Required skills** : Software Engineering 4–10 years of professional engineering experience. Strong hands\-on experience with Python. Experience developing backend services and APIs. Strong understanding of software engineering fundamentals. Experience with: Git Testing Debugging API development Production software System integration Platform Engineering Strong hands\-on Kubernetes experience. Strong experience with Docker and containerized applications. Experience deploying and operating production applications. Good understanding of: Kubernetes workloads Deployments Services Configuration Resource management Troubleshooting Experience with CI/CD pipelines. Familiarity with monitoring, logging, and observability. AI / Agent Exposure Hands\-on experience with or familiarity with: LLM applications AI agents RAG Tool/function calling AI application deployment Data Engineering Fundamentals Strong SQL skills. Experience working with structured and semi\-structured data. Understanding of ETL/ELT concepts. Experience building, maintaining, or supporting data pipelines. Understanding of databases and data integration. Kubernetes at scale Infrastructure as Code Terraform or equivalent Distributed systems Microservices Workflow orchestration Cloud platforms Data processing frameworks Event\-driven architectures Streaming technologies Observability and tracing Security and IAM AI/ML infrastructure Agent orchestration frameworks Job Snapshot Updated Date 30\-09\-2026 Job ID J\_5846 Location Bengaluru, Karnataka, India Experience 4 \- 8 Years Employee Type Permanent