About the Role:

We are looking for a hands-on Software Engineer Architect to own the architecture and scalability of an AI Agents platform. The role involves designing reliable, secure, and high-performance distributed systems while actively contributing to complex technical challenges.

Key Responsibilities:

- Own end-to-end architecture across services, APIs, data, async workflows, and AI/LLM agent pipelines.

- Design scalable and reliable systems with strong observability, fault tolerance, retries, and graceful degradation.

- Architect secure, multi-tenant platforms with PHI, HIPAA, and SOC 2 considerations.

- Make and document key technology and architecture decisions.

- Stay hands-on with coding, prototyping, and technical problem-solving.

- Work with Kubernetes/GKE and cloud infrastructure on scalability, deployment, and performance.

- Mentor engineers and establish best practices for architecture, testing, and production releases.

Tech Stack & Requirements:

- 10+ years of software engineering experience with strong distributed systems and architecture expertise.

- Hands-on experience with Python or Go and backend/service development.

- Strong knowledge of REST APIs, event-driven architecture, task queues, and databases.

- Experience with cloud platforms and Kubernetes.

- Experience building or integrating AI/LLM-based systems and agent orchestration.

- Strong understanding of reliability, security, data isolation, encryption, and observability.

- Excellent communication, problem-solving, and technical leadership skills.