Senior Staff Systems Engineer

At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. We are guided by principles that shape how we think, build, and execute, including deep customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in small, highly skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re building a globally diverse team of technologists and problem solvers who thrive in fast-paced environments, value collaboration, and approach every challenge with a Day 1 mindset. With hubs in New York City, Mountain View, Latin America, and India. If you’re driven by continuous learning, rapid iteration, and the challenge of building in a high-growth startup, this is more than a role—it’s a journey. We are seeking a Senior Staff Systems Engineer to drive the architectural vision for our GenerativeAgent product. In this role, you will design and build a highly scalable, multi-agent platform that powers real-time voice and text customer service experiences across a wide range of industries. As a Senior Staff Engineer, you will set long-term system direction, tackle the organization’s most complex technical challenges, and partner closely with engineering, product, security, and operations leaders. You will ensure our systems are resilient, scalable, and tightly aligned with both customer needs and business goals, while maintaining a strong hands-on presence and broad organizational impact. What you'll do

Act as a technical authority and advisor across multiple engineering teams

Develop and drive alignment on system design, technical roadmaps, and best practices

Design and implement a scalable, multi-tenant deployment architecture that supports easy configuration of agents and business workflows for various customers

Define the communication, state management, and orchestration patterns for multi-agent systems

Mentor senior engineers and help raise the bar on systems thinking across the organization

Own and define system-level SLOs/SLIs for high-traffic, real-time voice and text services, focusing on latency, cost-efficiency, and fault tolerance across the ecosystem

Identify systemic risks and proactively design mitigation strategies

Partner with Security and Compliance teams to ensure systems meet regulatory and security requirements

Lead post-incident analysis and drive systemic improvements

Partner with Product, Customer Engineering, SRE, and TPMs to translate business requirements into system designs

Work with Research to evaluate and productionize cutting-edge ideas in the ML space

Drive complex initiatives that span multiple quarters and involve multiple teams

Communicate complex technical concepts clearly to both technical and non-technical stakeholders

What you'll need

10+ years of experience building large-scale production systems

Mastery in at least one cloud platform (AWS, GCP, Azure)

Expertise with container orchestration (Kubernetes)

Expertise with Python and/or Golang

Excellent communication, consensus-building, strategic thinking, and mentorship abilities

Distributed systems design patterns (e.g., service mesh, event-driven architecture, microservices)

Reliability engineering principles

System performance and capacity planning

Ability to lead through influence rather than authority

What we'd like to see

Expertise with the LLM development lifecycle (e.g. fine-tuning, RAG, deployment, evaluation, monitoring & feedback)

Strong track record of building multi-agent systems at scale

Experience with security, compliance, and data privacy requirements (e.g. HIPAA, SOC 2)