Location: Menlo Park, California, United States (On-site)
Type: Full-time/permanent
If you're inteerested in building the future of real-time, agent-powered user experiences, then you should explore this opportunity!
As a Software Engineer, you’ll be designing and scaling the infrastructure that fuels cutting-edge research and drives seamless, real-time interactions between users and intelligent agents. This isn’t your average fullstack role, you’ll be hands-on with the systems that support high-concurrency, massive data throughput, and emerging AI use cases.
Key Responsibilities
- Architect and build backend systems to manage user data and support highly concurrent AI-driven workflows.
- Partner closely with research, UI/UX, and product teams to deliver seamless, integrated AI experiences.
- Optimize services for scalability and performance, using strategies like caching, load balancing, and efficient data handling.
- Monitor and troubleshoot system bottlenecks, ensuring high availability and quick recovery.
What You Bring
- 2–5+ years in backend engineering, ideally in AI/LLM-powered environments.
- Strong fluency in Python, Java, or Go, and modern frameworks.
- Experience working with SQL/NoSQL databases and big data pipelines.
- Familiarity with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, CI/CD workflows.
- Practical knowledge of streaming architectures (WebSockets, SSE).
- Hands-on AI integration experience: prompt engineering, secure model execution, context management.
- Excellent problem-solver, communicator, and collaborative teammate.
Team & Culture
- Small, agile team blending engineering with applied research.
- US-based, in-person environment with visa sponsorship offered.
- Rich benefits: medical/dental/vision, life insurance, 401(k), unlimited PTO, relocation assistance.
- Fluid, ambitious culture with a strong emphasis on ownership and impact.
Why You’ll Love Working Here
- Crafting systems that redefine agent/user interactions.
- Innovating in a space few have the vision, or freedom, to explore.
- Positioned for growth, your work here shapes the product and roadmap.
- Within a hub next to Stanford and deep into the Bay Area’s AI ecosystem
Apply now if you're ready to build the infrastructure behind intelligent agents changing how the world interacts with technology.
