Senior Machine Learning Engineer

Build and maintain end-to-end integration flows across the AI inference pipeline (serving, orchestration, APIs, and infrastructure) Design, implement, and optimize LLM inference workflows, including prefill and decode stages Improve system performance with focus on throughput, latency, and interactivity Write production-grade components in Python and integrate them into the broader system Contribute to system-level logic such as smart hardware selection and execution strategies Integrate models (open source and custom), services, and APIs into cohesive, reliable end-to-end application pipelines 4+ years of experience in software engineering or machine learning engineering Strong proficiency in Python Strong experience with LLM inference systems and performance optimization Hands-on experience with system integration and end-to-end workflows Experience with inference frameworks such as vLLM, TensorRT, SGLang etc Experience working with GPU/accelerator-based systems ?Preferred Qualifications Hands-on experience with Dynamo and LLM-D for LLM inference and serving Familiarity with Kubernetes and cloud environments