LLM Algorithm Tech Lead (Intelligence Architecture & Applied LLM Systems) - Singapore at Plaid

Singapore

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

5+ years of experience in NLP/LLM/AI development
Strong expertise in prompt engineering, LLM reasoning design, and applied ML architecture
Experience deploying LLM-powered features in production
Familiarity with RAG/knowledge pipelines and hallucination mitigation
Strong system thinking and ability to architect

Responsibilities

Design LLM reasoning frameworks: task decomposition, structured reasoning, and decision logic
Architect intelligent behavior modules including context handling, memory mechanisms, and proactive insights
Define the capability roadmap and build modular, extensible intelligence components
Lead the full lifecycle of LLM-powered features: requirement → design → prototyping → production
Optimize model outputs for reliability, consistency, controllability, and domain suitability
Implement hallucination mitigation strategies via prompting, constraints, and structured reasoning
Build multi-source retrieval pipelines for structured and unstructured data
Own chunking, embedding, reranking, and context-injection strategies
Ensure RAG-enhanced reasoning is stable and production-grade
Evaluate and select LLMs (OpenAI, Claude, DeepSeek, Qwen, Llama, Gemini, Mistral)
Build model-routing logic based on latency, cost, performance, and task type
Work with engineering to optimize runtime, memory usage, and system availability
Partner with engineering, product, and data teams to deliver high-quality LLM features
Define evaluation standards, monitoring metrics, fallback strategies, and safety constraints
Lead issue investigation and optimization in production systems

Skills

Key technologies and capabilities for this role

LLMAI ArchitectureRAGInference OptimizationReasoning DesignKnowledge PipelinesLarge Language Models

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position in Singapore.

What is the compensation for this role?

The job offers market-competitive compensation.

What key skills are required for the LLM Algorithm Tech Lead role?

The role requires expertise in LLM reasoning frameworks like task decomposition and structured reasoning, intelligent behavior modules including context handling and memory mechanisms, RAG pipelines for multi-source data, inference optimization, and cross-team engineering collaboration.

What is the company culture like at Plaud?

Plaud fosters a culture that values innovation, collaboration, customer success, continuous learning, and fast career development, with passionate teammates in a vibrant, creativity-fueled work atmosphere.

What makes a strong candidate for this position?

Strong candidates have experience leading the design of AI intelligence architecture, end-to-end LLM application in production, and skills in reasoning frameworks, RAG pipelines, and inference optimization.

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$714.3MTotal Funding

SERIES_DCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.

Potential legal challenges, such as PNC's lawsuit over trademark issues.

Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.

Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.

Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.

Partnership with Dwolla enhances Plaid's presence in the secure payments sector.

Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

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