HighTech Company
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
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