Senior Software Engineer, Agentic Systems

What you'll do

• Design, build, and operate an ecosystem of agents to deploy research model specifications into production services.
• Design and maintain evaluation frameworks to measure agent quality, reliability, and safety.
• Build or integrate new functionality with supporting platform infrastructure.
• Identify and resolve platform and workflow bottlenecks that limit the development and deployment of AI-driven systems.
• Define standards for generated code including API schemas, testing, and security requirements.
• Ensure services meet production standards for observability, monitoring, logging, and incident response.
• Participate in on-call rotations and provide production support to ensure operational excellence.

What we're looking for

• 5+ years of experience building and operating production software systems.
• Hands-on experience building or operating LLM-driven agents or agentic pipelines.
• Strong understanding of agent architectures including reasoning, retrieval, tool use, and multimodal capabilities.
• Experience designing evaluation frameworks to measure the quality, reliability, and safety of AI-driven systems.
• Experience with retrieval-augmented generation (RAG) and agent memory or session-persistence systems.
• Strong distributed systems background including service discovery, secrets management, and multi-tenant infrastructure on Kubernetes.
• Working familiarity with modern generative and computer vision architectures like Transformers, Diffusion models, and MLLMs.
• Proficiency with Python, PyTorch, TensorFlow, Docker, Kubernetes, and AWS.
• Familiarity with model serving and inference optimization tooling such as NVIDIA Triton, TorchServe, ONNX, and CUDA (preferred).