Key skills
AWSAzureCloudDistributed SystemsDockerJavaScriptKafkaKubernetesPythonReactAILLMLangChainAgenticLangGraphData EngineeringGitHub ActionsGitHubEvent StreamingCommunicationCollaboration
About this role
Role Overview
- 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