OutSystems aims to solve the enterprise challenge of managing AI tools, data readiness, and talent gaps, enabling businesses to build and deploy AI-powered applications and agents efficiently and securely, thereby reducing manual work, streamlining operations, and accelerating business impact.
Requirements
- Leveraging LLMs, AI agent frameworks, and autonomous agent patterns (e.g., task planning, tool use, memory).
- Integrating with AWS services, Kubernetes, and C-Sharp-based microservices.
- Implementing and maintaining secure, high-performance APIs for agent execution, communication, and interoperability.
- Integrating AI agent workloads with AWS data services, messaging systems (Kafka/NATS), and event-driven architectures.
- Applying continuous delivery and automated testing practices for AI-related components.
- Ensuring high availability, low latency, and observability across AI agent services.
Responsibilities
- Design, implement, and maintain AI-powered low-code platform capabilities enabling customers to build and deploy AI agents at scale.
- Architect and optimize agent orchestration pipelines, integrating with AWS services, Kubernetes, and C-Sharp-based microservices.
- Develop solutions leveraging LLMs, AI agent frameworks, and autonomous agent patterns (e.g., task planning, tool use, memory).
- Implement and maintain secure, high-performance APIs for agent execution, communication, and interoperability.
- Build reusable, configurable components to accelerate customer-built AI agents through the low-code platform.
- Ensure high availability, low latency, and observability across AI agent services.
- Integrate AI agent workloads with AWS data services, messaging systems (Kafka/NATS), and event-driven architectures.
Other
- Bay Area location required!
- Lead individual contributor responsible for owning complex AI agent platform components, delivering scalable and secure AI-powered low-code solutions, and mentoring other engineers.
- Operates with high autonomy, influences technical direction within the team, and ensures production-ready quality in AI-driven features.
- Availability to participate in an on-call rotation
- Serve as last-line incident responder for complex AI platform issues, participating in the on-call rotation.
