Senior Software Engineer, Agentic AI

What you'll do

• Develop open-source libraries and tools to optimize agent harnesses and frameworks for performance and stability.
• Track and analyze evolving agent development patterns across research and commercial products.
• Benchmark latest agents to identify bottlenecks and develop solutions to reduce cost and latency.
• Collaborate with teams building RAG systems, vector databases, and GPU-optimized training workflows.
• Identify architectural gaps and translate insights into tools that improve developer velocity and agent quality.
• Design and extend cross-language APIs while ensuring consistency, usability, and backward compatibility.
• Perform systems-level debugging to trace execution from high-level API calls through runtime internals.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
• 8+ years of experience in at least one of Rust, Python, Go, or Node.js, with working familiarity in at least one more.
• Solid understanding of asynchronous programming, callbacks, request lifecycles, and event-driven systems.
• Hands-on experience with evolving agent architectures, multiple agents frameworks, and agent harnesses.
• Proficiency in LLM applications, agent workflows, tool calls, and model-provider APIs.
• Ability to design or extend cross-language APIs with attention to consistency, usability, stability, and backwards compatibility.
• Systems-level debugging and performance intuition to trace execution from high-level API calls through runtime internals and optimize hot paths.
• Strong interpersonal skills for effective collaboration with the open source community.
• Experience building evaluation/benchmarking systems for agent workflows (preferred).
• Rust systems work, especially async Rust, Tokio, serde, API design, or Python native extension experience (preferred).
• Knowledge of OpenTelemetry, tracing, structured events, exporters, or observability pipelines (preferred).
• Experience with middleware, plugin systems, guardrails, policy engines, or maintaining open-source libraries and SDKs (preferred).