Plaud · 1 hour ago
AI Applied Engineer - San Francisco
Plaud Inc. is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions. The AI Applied Engineer will own the design and delivery of AI-first workflows and collaborate closely with engineering and ML teams to enhance product quality and user experience.
Artificial Intelligence (AI)
Responsibilities
Own the end-to-end design and delivery of AI-first workflows for complex knowledge work (e.g. preparation, collaboration, and follow-up around key meetings and decisions)
Design and iterate multi-step LLM / agent systems, including intent understanding, planning, tool/skill invocation, memory usage, and refinement loops
Build and evolve reusable AI capabilities (skills, prompts, templates, evaluation pipelines) that can be composed into multiple product experiences
Define clear success metrics for AI behavior, run experiments, and use data and examples from real interactions to continuously improve reliability and usefulness
Work closely with Engineering and ML to make pragmatic trade-offs and ship fast, while keeping a strong bar for product quality and user experience
Qualification
Required
Solid experience building and shipping AI or ML-powered products end to end, ideally as a Product Manager, AI Engineer, or similar hybrid role
Strong working understanding of LLM-based systems: prompting, tool calling / APIs, retrieval / context construction, evaluation of model outputs, and common failure modes
Ability to translate messy user needs into clear specs and flows, including example prompts, edge cases, and expected behaviors for the AI system
Comfortable working with data and real interaction logs to debug, compare variants, and make decisions (not afraid of digging into dashboards or raw examples)
Excellent written and verbal communication in English, and proven ability to work with engineers and researchers on technically deep topics
Hands-on experience designing or implementing agent-like workflows (multi-step plans, calling multiple tools/skills, self-correction or refinement)
Experience shipping AI assistants, copilots, or productivity tools that are used frequently in users' daily workflows
Ability to read basic code or notebooks (e.g. Python) well enough to collaborate closely with ML/engineering and reason about system behavior
Track record of working in fast-moving, high-ambiguity environments, taking ideas from 0 → 1 with tight feedback loops
Benefits
Employee Stock Ownership Plan (ESOP)
Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy
401(k) retirement plan with company matching for full-time employees
Unlimited PTO
13 paid holidays
12 weeks of fully paid parental leave for all parents
Hybrid work model with a minimum of three in-office days per week
Access to high-quality office snacks, drinks, and equipment
Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems
Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires
Annual company offsites
Team events
A culture that values craftsmanship, ownership, and velocity
Company
Plaud
Plaud is building the world's most trusted AI work companion for professionals through AI note-taking solutions.
H1B Sponsorship
Plaud has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
Funding
Current Stage
Growth StageRecent News
2026-01-12
2026-01-09
Company data provided by crunchbase