Principal Engineer

Asteri is an AI-native Work Intelligence and Orchestration Platform that gives large enterprises the intelligence to understand how work is performed today and how it should be performed in the era of AI, eliminating inefficiencies and identifying high-impact opportunities for AI augmentation. Our platform orchestrates AI and human work with enterprise-grade governance, auditability, and measurement built for production environments at scale.

As a Principal Engineer at Asteri, you will be a technical leader and architect, driving the design, development, and scaling of core product capabilities across our AI-native orchestration platform. You will provide technical vision and leadership at the intersection of enterprise workflows, AI agents, and human-in-the-loop processes, ensuring our systems meet the highest standards of reliability, scalability, and usability.

This is a high-impact leadership role with deep ownership over the technical roadmap and production systems used by global enterprise customers.

• Lead the architectural design and delivery of scalable full-stack systems, ensuring alignment with long-term business and technical goals

• Define and evolve backend and front end services and architectures with a focus on clean APIs, high availability, observability, security, compliance and and performance

• Drive the technical direction for frontend experiences, ensuring consistency, accessibility, and superior operational visibility

• Architect complex workflow and orchestration logic, establishing patterns for AI-human coordination, policy enforcement, and auditability

• Oversee the integration of enterprise-scale systems and data sources, ensuring robust end-to-end workflows, including policies, resiliency, SLAs, and auditability

• Set the standard for production excellence through advanced testing strategies, CI/CD evolution, and proactive operational monitoring

• Partner with product, AI, and design leaders to translate high-level requirements into strategic technical roadmaps and robust solutions

• Mentor senior engineers, lead technical reviews, and continuously elevate the engineering culture, developer experience, and system maintainability

• 10+ years of experience as a software engineer, with a proven track record of architecting and operating large-scale production applications

• Deep experience building and securing enterprise-grade applications, ideally in highly regulated environments

• Expert-level backend development skills (e.g., Python, Node.js/TypeScript) and experience designing distributed systems

• Advanced experience with modern frontend frameworks (e.g., React with TypeScript) and building complex, stateful web applications

• Mastery of API design and database modeling with relational databases (e.g., Postgres) at scale

• Strong track record of technical leadership, including mentoring engineers and driving architectural decisions across teams

• Experience operating and optimizing mission-critical applications in cloud environments (AWS, Azure, or GCP)

• Exceptional ability to navigate ambiguity and take ownership of strategic technical initiatives in a fast-paced environment

• Experience architecting AI-enabled enterprise products or ML-powered systems

• Expert-level knowledge of workflow orchestration, state machines, or event-driven architectures

• Experience with platform engineering, container orchestration (Kubernetes), and infrastructure-as-code (Terraform)

• Deep understanding of enterprise security and compliance requirements (SSO, RBAC, SOC2, etc.)

• Experience working in regulated or security-conscious environments

• Passion for fostering a culture of technical excellence and pragmatic innovation

Lead the next phase of an AI-native work intelligence and orchestration platform used by global enterprises. You’ll shape architecture and execution alongside a senior engineering team, with meaningful ownership and direct influence on technical and product direction. We offer competitive compensation with equity, a remote-friendly culture, and a pragmatic, safety-first approach to delivering reliable AI systems in production.