Senior Systems Engineer – Agentic AI

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design and develop scalable, dependable systems for agentic AI across various agent runtimes, harnesses, inference, evaluation, and orchestration.

• Address large-scale system challenges in distributed execution, data/ETL pipelines, HPC, cloud, Kubernetes, and GPU computing environments.

• Enhance systems for reliability, scalability, performance, resource efficiency, and developer experience.

• Prototype innovative concepts and produce high-quality production code.

• Offer technical leadership across research, engineering, product, and infrastructure teams.

⛳️ Requirements

• Bachelor's, Master's, or equivalent experience in Computer Science, Computer Engineering, AI, or a related discipline.

• Over 12 years of pertinent industry experience.

• Strong grounding in contemporary AI technologies, including LLMs, multimodal models, inference, agentic AI, and evaluation.

• Extensive expertise in software architecture, distributed systems, and large-scale system design.

• Proficient programming skills in Python, C++, Go, Rust, or comparable languages.

• Proven history of developing high-quality production software.

• Experience in constructing large-scale systems that involve distributed execution, data processing/ETL, workflow orchestration, HPC, cloud, or GPU infrastructure.

• Capability to analyze across the entire stack—from AI model behavior and application logic to runtime, compute, and infrastructure.

• Demonstrated ability to navigate ambiguous, complex technical challenges from architecture to implementation and production.

• Familiarity with LLM/VLM inference, model serving, model routing, or inference optimization.

• Background in AI evaluation, benchmarking, experimentation, or large-scale AI infrastructure.

• Proven track record in developing reusable platforms that support diverse AI workloads and computing environments.

🏝️ Benefits

• Equity

• Benefits