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LLM Algorithm Tech Lead – Applied Large Language Model Systems

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Plaud

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

230000.00 - 300000.00 USD / Year

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

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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