Agent Engineer - San Francisco

Plaud • San Francisco, CA

9h • Hybrid

About The Position

Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.
Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
Define the next-gen paradigm for human-AI interaction.
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.
Work with passionate teammates who value innovation, collaboration, and customer success.
Grow your career in a culture that champions continuous learning and fast career development.
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed