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.
Requirements
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.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Docker
JavaScript
Kafka
Kubernetes
Python
React
Benefits
A comprehensive Total Rewards Program including bonuses and flexible benefits
competitive compensation
commissions
stock options where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact from a local-to-global scale