About the job
We are seeking a Principal Engineer to lead the technical vision and long-term architecture of our GenAI Search Platform. This platform powers Moveworks’ conversational search and question-answering systems, combining advanced information retrieval with large language models (LLMs) to deliver instant, enterprise-grade answers at scale.
Responsibilities
Define and evolve the long-term architecture of our GenAI search platform, balancing classical information retrieval techniques with LLM-driven retrieval-augmented generation (RAG) systems.
Architect scalable abstractions and frameworks that enable multiple teams (ranking, product, ML) to safely and independently build on top of the platform.
Establish durable design principles for performance, enterprise readiness, extensibility, and observability.
Lead the development of advanced conversational search systems, including multi-turn, multi-hop, and agentic workflows.
Define architectural patterns for integrating LLMs into search systems in a secure, cost-efficient, and production-grade manner.
Ensure the platform can support rapid experimentation while enforcing guarantees around security, privacy, and compliance in enterprise environments.
Establish systematic evaluation methodologies and metrics for search and generative systems, including LLM-assisted evaluation frameworks.
Lead the definition of quality standards for ranking, retrieval accuracy, hallucination mitigation, and user trust.
Champion performance optimization, scalability, and operational excellence across the platform.
Influence product and engineering roadmaps to align with platform strategy and long-term scalability goals.
Serve as a technical advisor across teams, ensuring architectural coherence and reducing fragmentation.
Drive high-leverage initiatives that unlock velocity for multiple product teams.
Mentor and elevate senior and staff engineers.
Shape hiring strategy and help close top technical talent.
Raise the bar for engineering excellence, documentation, design rigor, and code quality across the organization.
Qualifications
Minimum
8+ years of engineering experience, with a track record of leading large-scale technical initiatives across teams.
Demonstrated experience operating at Staff/Principal scope, driving architecture and influencing technical direction beyond a single team.
Deep expertise in search systems, information retrieval, ranking, recommendation systems, or large-scale question-answering platforms.
Strong background in text processing, natural language understanding, and/or applied machine learning.
Experience designing distributed systems that operate at enterprise scale with high reliability and performance requirements.
A systems thinker who balances innovation with pragmatism in production environments.
Preferred
Experience with large language models, retrieval-augmented generation (RAG), or agent-based architectures.
Experience productionizing LLM systems with attention to cost, latency, evaluation, and safety.
Strong Python experience, particularly contributing to platform-level libraries or shared infrastructure.
Familiarity with Golang or other backend systems languages.