Backend Engineer (Java, Python) — United States

About The Company

Quo is a remote-first technology company dedicated to building innovative AI-powered solutions that transform how businesses interact with their customers. We foster a culture of trust, autonomy, and action, encouraging our team members to bring their authentic selves to work every day. Our commitment to diversity and inclusion is integral to our growth and success. As we expand, we are building communities in select hub cities while continuing to hire exceptional talent regardless of location. At Quo, we believe in empowering individuals with grit and determination to tackle the challenges of a rapidly growing startup environment.

About The Role

We are seeking a Staff Software Engineer to join our AI Agent Platform team. This team is responsible for the platform that powers nearly all of Quo's customer-facing AI agents, including Sona, our AI agent for calls and texts, and Quo Agent, our newly launched workspace agent. This is a hands-on technical leadership role where you will set the architectural direction and contribute significantly to the codebase. Your work will directly influence how customers experience AI within Quo and how other teams build on the platform.

The role involves unifying AI efforts from disparate teams onto a shared platform, providing you with real ownership from day one. You will be responsible for designing and building advanced orchestration capabilities, scalable execution engines, and memory/self-learning mechanisms that allow agents to improve over time. Additionally, you will mentor engineers, advocate for the platform through documentation and collaboration, and stay abreast of developments in large language models (LLMs) and agent tooling to inform the product roadmap.

Our technology stack includes Node.js and TypeScript on the backend, event-driven microservices orchestrated with Temporal and RabbitMQ, Kubernetes on AWS, and databases such as Postgres, MongoDB, Elasticsearch, and Redis. Observability is managed through Datadog, with clients spanning web (React), iOS, and Android.

Qualifications

• Proven experience building and scaling backend systems for products with significant user bases.

• Technical leadership in architecting business-critical services.

• Experience shipping LLM-powered systems to production, preferably agent platforms or orchestration layers; alternatively, experience with ML platforms, workflow engines, or real-time communications infrastructure combined with hands-on LLM expertise.

• Strong proficiency in TypeScript and Node.js, or fluency in another backend language with a willingness to learn our stack.

• High agency and proactive problem-solving capabilities.

• Fast learner with deep engagement in the AI domain, understanding trends in models, agent frameworks, and tooling.

• Excellent communication skills with the ability to write clear design documentation and articulate trade-offs.

• Customer-focused mindset, balancing technical decisions with user experience considerations.

Bonus Qualifications

• Experience running Temporal or other durable workflow engines in production.

• Background in customer-facing AI product development beyond internal tooling.

• Experience founding or early-stage involvement in startups.

Responsibilities

• Own and drive the architecture of the AI agent platform, enabling cross-team agent creation and execution.

• Develop advanced orchestration capabilities for coordinating multiple subagents and supporting long-running agent tasks.

• Design and implement memory and self-learning features to enhance agent performance based on customer feedback.

• Optimize the scale, performance, reliability, and cost-efficiency of agent execution across multiple communication channels.

• Facilitate platform adoption by other teams through clear documentation, best practices, and collaborative pairing.

• Mentor engineers via design and code reviews, elevating the overall quality and expertise within the AI domain.

• Continuously monitor advancements in LLMs and agent tools, translating insights into actionable roadmap proposals.

Benefits

• Competitive annual base salary with ranges varying by location (U.S. and Canada).

• Equity participation in the company.

• Comprehensive medical coverage.

• Monthly lifestyle stipend.

• Flexible paid time off (PTO) policy.

• Remote work flexibility with a supportive and inclusive company culture.

Equal Opportunity

Quo is an equal opportunity employer. We are committed to creating an inclusive and diverse work environment where all employees can bring their authentic selves to work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage applications from all qualified individuals and strive to ensure a fair and equitable hiring process.