Senior Systems Engineer -- Agentic AI
Core
Architect and build scalable, reliable systems for agentic AI, spanning agent runtimes, harnesses, inference, evaluation, and orchestration.
Role type
Senior Software Architect (Agentic AI Systems)
Builds
Foundational systems for the next generation of agentic AI
Domain
AI and systems engineering
Deliverable
production ML models
Required skills
software architecture, distributed systems, large-scale systems design, Python, C++, Go, Rust, LLMs, multimodal models, inference, agentic AI, evaluation, data/ETL pipelines, HPC, cloud, Kubernetes, GPU compute
Preferred skills
LLM/VLM inference, model serving, model routing, inference optimization, AI evaluation, benchmarking, experimentation, large-scale AI infrastructure, reusable platforms for heterogeneous AI workloads
Responsibilities
Architect and build scalable, reliable systems for agentic AI; Solve large-scale systems challenges across distributed execution, data/ETL pipelines, HPC, cloud, Kubernetes, and GPU compute environments; Optimize systems for reliability, scalability, performance, resource utilization, and developer experience; Prototype emerging ideas, write high-quality production code, and provide technical leadership across research, engineering, product, and infrastructure teams.
