LLM Algorithm Tech Lead – Applied Large Language Model Systems Job at Plaud (San Francisco)

Job Description

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.

Job Responsibility

Intelligence Architecture Development: Design structured reasoning pipelines, planning flows, chain-of-thought workflows
Build capability primitives such as memory, personalization, proactive insights
Develop modular and reusable intelligence components
Applied LLM Features & Production Integration: Lead the design and deployment of LLM-based product functionality
Ensure output reliability, consistency, safety, and user-centric alignment
Apply prompting, constraints, and reasoning structures to reduce hallucination
Retrieval-Augmented Generation (RAG): Build and optimize multi-hop, multi-source retrieval pipelines
Implement chunking, indexing, reranking, and retrieval evaluation
Ensure RAG improves factuality and reduces error rates
Model Strategy & Inference Optimization: Select appropriate model families based on capability and cost constraints
Develop routing logic for hybrid model usage
Collaborate with engineering to optimize latency, cost, and scalability
Cross-Functional Collaboration: Work closely with product, engineering, and data stakeholders
Define evaluation frameworks and monitoring pipelines
Troubleshoot production issues and lead algorithm-level improvements

Requirements

5–10 years of experience in LLM/NLP/AI
Strong prompt engineering and reasoning design skills
Proven ability to deliver LLM-powered features into production
Experience with RAG and knowledge-enhanced reasoning
Strong architectural thinking and system design skills
Strong communication and leadership capabilities
Knowledge of memory systems or personalization engines
Experience building eval frameworks or safety systems
Experience leading technical teams
Experience in foundational model algorithm design or efficiency optimization
Exposure to multimodal or large-scale distributed systems

What we offer

Competitive Compensation: $230K-$300K base salary+performance bonus+Equity
Comprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy
Retirement Planning: 401(k) plan for full time employees with company matching
Paid Time Off: Unlimited PTO, plus 13 paid holidays
New Parent Leave: 12 weeks of paid time off to spend time with your new family, regardless of gender
Hybrid Office: Minimum of 3x in office per week
Gear: New hires are equipped with their choice of new top-of-the-line laptops and workstation setups
Perks: Best office equipment. Annual offsites. Free office drinks and snacks

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LLM Algorithm Tech Lead – Applied Large Language Model Systems

Job Description

Job Responsibility

Requirements

What we offer

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