LLM Algorithm Tech Lead – Applied Large Language Model Systems

About the position About Plaud Inc. 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 SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031 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. What You Will Do 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 Skills, Qualifications and Experience We Look for 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 Founding Team: Opportunity to join the founding team of this new initiative, with meaningful ownership and impact on a fast-growing startup. 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. Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics. Responsibilities • 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 Benefits • 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. 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