Agent Platform Engineer, Replit

• We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems
• On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact
• We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply
• 5+ years professional experience in building backend services, systems and platforms
• Someone who values simplicity and pragmatism—you think radically but ship incrementally
• Self-directed and comfortable working autonomously
• Collaborative and team-oriented with a strong sense of shared ownership
• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Desirable

• In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself
• You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties
• This role blends systems engineering, developer experience and product engineering
• We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering
• Build high-throughput backend applications and services, like streaming chat between user and agent
• Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time
• Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences
• Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)