Senior AI Platform & Infrastructure Engineer

Job Description

Title: Senior AI Platform & Infrastructure Engineer Location: Bangalore Experience: 8+ Years Work Mode: Hybrid Job Description: Were looking for an experienced Infrastructure Engineer with a strong background in Kubernetes (K8s), GPU-based workloads, and scaling large distributed systems. We need builders, not just maintainers. Ideal candidates will have hands-on experience developing and stress-testing infrastructure at scale, not just reporting bottlenecks, but solving them. What Youll Do Design, build, and optimize infrastructure and develop backend to support large-scale, GPU-accelerated workloads. Work with frameworks like LangChain, LlamaIndex, LangGraph and other custom agentic systems. Develop and run performance/stress tests to identify and resolve scaling issues. Own the infrastructure layer: from container orchestration to system-level performance tuning. Collaborate with engineering teams to ensure infra scales with product needs. Architect scalable cloud infrastructure (AWS/GCP/Azure). What Were Looking For Strong experience with Python or Node.js for backend systems (Python preferred for AI work). Deep hands-on experience with Kubernetes, Terraform, Docker and GPU-based workloads. Proven ability to design, test, and scale large systems (not just monitor them). Experience with async frameworks (FastAPI, NodeJS Async). Track record of solving infra scaling problems, not just escalating them. Strong understanding of distributed systems performance, observability, and tuning. Interested candidates can share their updated CV on [email protected] Sana Azmi Talent Acquisition Specialist