Plaud
LLM Algorithm Tech Lead – Applied Large Language Model Systems
Plaud, San Francisco, California, United States, 94199
LLM Algorithm Tech Lead – Applied Large Language Model Systems
Join to apply for the LLM Algorithm Tech Lead – Applied Large Language Model Systems role at Plaud
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 1,000,000 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.
Why You Should Join Us
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Technology, Information and Media
#J-18808-Ljbffr
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 1,000,000 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.
Why You Should Join Us
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Technology, Information and Media
#J-18808-Ljbffr