Here at Lusha, we power sales teams with data. Over 1.5M users and teams at Google, Spotify, and many more, use our platform to find verified contacts, spot real-time buying signals, and automate workflows with 200M+ records.

As an AI Engineer on our Search Engine team, you’ll help build the state-of-the-art, powered-by-AI search. You’ll design and operate high-performance services that transform user intent into fast, accurate, and reliable results. Your work sits at the foundation of how customers discover companies and contacts, delivering a seamless, intelligent search experience at scale.

What You'll Actually Do:

• Build lightning-fast APIs serving recommendations, contact, and company data to millions of users daily.
• Design event-driven systems that sync data across products and data lakes in real-time.
• Develop agentic flows and integrate AI solutions that optimize user experience.
• Optimize data retrieval, caching, and indexing for sub-second response times at scale.
• Create fault-tolerant services with robust monitoring and CI/CD that just work.
• Collaborate with Data Scientists and ML engineers to power AI-driven features and pipelines that customers use.
  
  

Requirements:

• Backend engineers with 4+ years building production APIs and large-scale data systems
• Polyglot developers fluent in Python and/or Node.js with strong performance optimization skills.
• Strong hands-on experience with Elasticsearch (mappings, analyzers, tuning) and vector search for low-latency semantic retrieval.
• Experience integrating LLM capabilities into backend workflows, including basic prompt and context engineering.
• Solid understanding of CI/CD, observability, distributed systems, and scalable service patterns.
• Ability to work with React, handle UI exceptions, and collaborate on micro-frontend components when needed.
• Ability to work on projects independently and collaborate in a team environment.
  
  

Nice to have

• Strong background with embedding models, embedding evaluation, RAG, and high-volume similarity search workflows.
• Experience building evaluation pipelines and optimizing low-latency inference flows combining LLM calls, embeddings, vector search, and multi-step orchestration.
• Experience designing and implementing data retrieval systems (smart filters, semantic ranking) and contributing to React micro-frontends that expose these capabilities.
  
  

Ready to build the search engine that drives revenue? Apply now.