Staff AI Engineer

Designing, building, and optimizing agentic AI systems and LLM-powered applications that drive business value at scale,

Designing and implementing best practices and standards for AI systems architecture, including agent frameworks and LLM integration pipelines across the organization,

Collaborating with engineers and AI researchers to architect, build, integrate and deploy AI applications at scale,

Supporting applications and projects with infrastructure design decisions, optimization, and monitoring solutions,

Building highly scalable, resilient cloud and on-premise systems for hosting AI and LLM systems using state-of-the-art technologies,

Translating business requirements into viable solutions through relationship-building, cross-functional collaboration, and navigating complex enterprise environments

Strong expertise with agentic AI frameworks (LangChain/LangGraph are ideal),

Deep knowledge of AI systems design and LLM architectures,

Professional software development experience with advanced proficiency in Python,

Experience designing and implementing distributed systems at scale,

Hands-on experience with containerization technologies (Docker, Kubernetes) and orchestration tools,

Strong knowledge of event streaming platforms such as Kafka,

Experience with DevOps pipelines such as GitHub/GitHub Actions,

UI development expertise with React and JavaScript (a plus),

Background in data engineering or data infrastructure,

Engineering optimization skills to maximize performance from existing infrastructure,

Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure,

Excellent communication and collaboration skills with the ability to independently navigate enterprise complexity, develop cross-functional relationships, uncover tribal knowledge, and drive solutions forward,

Self-directed problem-solving mindset with the ability to figure out solutions and chart paths forward in complex organizational settings