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Mid-level senior backend role in Bangalore with AI skills and a hybrid onsite requirement creates moderate applicant competition.
Backend, cloud, and LLM-integration skills transfer across industries, but enterprise SaaS and production-AI experience adds domain specificity.
Multiple mandatory technical requirements including 6+ years experience, Java/Python, cloud, and production AI experience make filters strict.
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Design, build, and operate backend services and APIs powering AI-driven and traditional workforce management capabilities at enterprise scale.
Integrate and deploy AI-powered applications including LLMs, AI agents, and retrieval-based systems into production environments.
Own end-to-end service lifecycle from architecture to deployment, monitoring, troubleshooting, and continuous improvement focusing on reliability and scalability.
6+ years professional software engineering experience with strong backend development expertise in Java or other statically typed languages.
Experience building, operating distributed systems, APIs, and production cloud-native applications with Python and cloud platforms like Azure, AWS, or GCP.
Proven hands-on experience integrating or deploying AI-powered applications, LLMs, agentic frameworks, or retrieval-based AI systems professionally.
Strong skills in observability, monitoring, CI/CD, containerization (Docker), and hybrid work model with Bangalore office attendance initially required.
Experienced backend engineer with a demonstrated record in productionizing AI-enhanced enterprise software services rather than purely machine learning research.
Operates well at the intersection of AI engineering and platform reliability, capable of taking full ownership of scalable AI backend services.
Familiarity with modern AI frameworks (e.g., LangChain), cloud-native Kubernetes environments, and SaaS or multi-tenant platform engineering preferred but not mandatory.