Software Engineer (Vertical)- San Francisco

What You Will Do

• Vertical Agent Core Development & Delivery: Engineer and deliver vertical Agent workflows for Sales/Health use cases; build and iterate key modules including tool orchestration, memory, and multi-step reasoning; translate business requirements into scalable backend/service capabilities.
• Production-Grade System Engineering: Design and implement production-ready service architecture with high availability, low latency, and scalability; establish monitoring, logging, alerting, and reliability foundations; support stable delivery for both high-frequency consumer usage and enterprise deployment needs.
• Evaluation and Data Feedback Loop Enablement: Contribute to Agent evaluation frameworks, including automated testing and quality benchmarking; partner with Applied AI and Product teams to build closed-loop iterations via real-world data; ensure continuous improvement of vertical Agent performance in production settings.
• Cross-functional Collaboration & Rapid Iteration: Work closely with Product, Applied AI, and GTM teams to execute high-priority delivery milestones; support parallel iterations across enterprise PoCs and consumer-facing features; drive modularization and reusability to accelerate future vertical expansion.
• Leveraging AI Tools to Improve Engineering Efficiency: Actively adopt AI coding assistants, automated test generation, and debugging tools to enhance development velocity; accelerate iteration speed while maintaining strong engineering quality standards.

Minimum Qualifications

• Strong Software Engineering Execution
• 3-5 years of hands-on software engineering experience, with proven ability to own and deliver critical components end-to-end
• Solid computer science fundamentals, including data structures, algorithms, and system design principles
• Ability to consistently deliver high-quality output in fast-paced environments
• Backend / Distributed Systems Expertise
• Proficiency in at least one backend language (Python, Go, Java, C++, etc.)
• Experience building scalable online services, including API design, async workflows, and microservice architectures
• Familiarity with distributed systems fundamentals: databases, caching, messaging systems and performance optimization
• Production-grade Engineering Excellence
• Strong experience delivering production systems with a focus on reliability, latency, and scalability
• Knowledge of observability best practices, including logging, monitoring, alerting, and tracing
• Commitment to engineering rigor through automated testing, CI/CD pipelines, and disciplined code review
• Interest and Capability in AI Agent Productization
• Strong interest in LLM applications, Al Agents, or workflow automation, and driving them into real-world products
• Ability to transform prototypes into scalable, maintainable, production-ready solutions
• Understanding of unique challenges in AI systems such as evaluation, safety, and iteration feedback loops
• Ownership and Cross-functional Collaboration
• Strong end-to-end ownership mindset, able to execute effectively under ambiguity
• Proven ability to collaborate closely with Product, Applied AI, and GTM teams toward shared business outcomes
• Strong problem-solving skills and accountability for user experience and delivery impact