Hybrid Agent Engineer

at Plaud

• Job title: Agent Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Distributed Systems, React
• Location requirements: Hybrid, San Francisco, United States

About the role

• AI Engineer building advanced backend systems for AI productivity tools at Plaud. Designing architectures to enhance human-AI interaction and performance optimization.

Responsibilities

• Agent Architecture Design: Designed the AI Agent architecture and implemented the "Plan-Act-Reflection" agentic flow.
• Skill Design: Developed agent skills including Function Calling, MCP Server integration, and Streaming APIs.
• Design DAG (Directed Acyclic Graph) reasoning flows to break down ambiguous user requests into executable steps.
• Solve critical runtime challenges like "Context Rot" (context overflow) by designing strategies for context offloading, isolation, and intelligent compression.
• RFT: Architect the Automated Data Flywheel system. Design Reward Functions and LLM-as-a-judge pipelines to programmatically evaluate agent performance and drive reinforcement learning.

Requirements

• Experience: 3–5 years of backend or AI engineering experience, with at least 1+ years specifically in LLM application architecture.
• Agentic Reasoning: Deep practical knowledge of advanced agent patterns (e.g., Plan-Act-Reflection).
• System Design: Proven ability to design complex distributed systems. Experience defining API standards and data protocols for cross-team usage.
• Agent Development: Proven experience in building AI agents, with a solid understanding of the ReAct (Reasoning and Acting) mechanism.
• Framework Architecture: Familiarity with the design principles of LLM orchestration frameworks such as LangChain Claude Agent SDK and Manus.
• Strategic Optimization: Experience implementing RLHF (Reinforcement Learning from Human Feedback) or DPO concepts to align agent behavior with business goals.

Benefits

• Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success.
• High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
• Comprehensive Health & Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
• Time Off & Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
• Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
• Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
• Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.