Search Engineer

Search Engineer (Software Engineer III)
Must be Authorized to work in the U.S. without sponsorship.

ABOUT

THE ROLE We're building intelligent product search that understands intent, learns from behavior, and gets smarter over time. As a Full Stack Engineer III on the ML/AI Search team, you'll build both the frontend and backend systems that power product discovery for millions of industrial buyers—from scalable retrieval pipelines, APIs, and Frontend interfaces that make AI accessible.

This isn't a research role. You'll work in the full lifecycle: prototyping ideas, shipping production-grade services on GCP, and iterating based on real user data. Python and React engineering is the foundation—if you also bring experience in search systems, vector databases, or Elasticsearch, you'll hit the ground running from day one.

WHAT YOU'LL DOBuild & Ship Search and AI-Powered Systems Design, develop, and deploy production Python services end-to-end—from retrieval and ranking pipelines through client-facing APIs.Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM-powered query understanding, and reranking services.

Develop event-driven, real-time architectures using GCP services—Cloud Run, Pub/Sub, GKE, Cloud Functions.

Write clean, well-tested, observable Python backends; own your services through deployment, monitoring, and on-call Drive frontend architecture decisions, establishing development standards, and creating reusable component libraries.

Contribute to Search Infrastructure Work alongside the Sr. Engineers, Search Architect, ML Architect to implement hybrid retrieval systems combining keyword search, dense vector similarity, and reranking.

Build and maintain Elasticsearch indexing pipelines, query services, and relevance tuning tooling.

Integrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows—even if this is new territory, you'll learn fast.

Instrument search pipelines with meaningful metrics: CTR, zero-result rate, latency—feeding the team's A/B experimentation loop.

Build clean, responsive, and production-ready interfaces from wireframes or Figma designs.

Own the Engineering Bar Participate in code reviews and knowledge-sharing—actively raising the team's collective skill level.

WHAT YOU BRINGMust-Haves

Experience with Python and React foundation: 4+ years of backend or full-stack engineering experience with Python/React (e.g., Next.js, Vite.js, Remix.js, Gatsby.js) focus—async patterns, type annotations, testing, and production-grade service/component design.

Cloud-native experience:
Experience deploying and maintaining cloud-native applications (GCP, AWS, or Azure).Hands-on experience building resilient microservices and RESTful/gRPC APIs.
2+ years of containerization (Docker) and serverless paradigms.

Grounding in SOLID design principles and software craftsmanship.

Good communicator who thrives in cross-functional, agile teams alongside Sr. Engineers, ML engineers, architects, and product owners.

Comfort using AI tools to accelerate development throughput.
3+ years working with relational (e.g., PostgreSQL, MySQL, Oracle) and non-relational databases (e.g., MongoDB, DynamoDB).Strongly Preferred — Search & MLYou don't need all of these on day one—but the more you bring, the faster you'll contribute:

Experience working in Monorepos Search systems:

Experience with search platforms:

Elasticsearch, Open Search, Solr, or Algolia—index management, query DSL, relevance tuning.

Vector search:
Familiarity with vector search concepts and tooling:embeddings, approximate nearest neighbor (ANN), FAISS, Pinecone, Weaviate, or similar.

Exposure to ML/AI patterns: RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows.

Experience with AI orchestration frameworks such as Lang Chain, Lang Graph, or Google ADK.WHO YOU ARE Fearless BuilderA working proof-of-concept beats a thousand slide decks. Speed and quality are both non-negotiable.

Relentless Learner You pick up new technologies fast and have a genuine eagerness to master whatever comes next.

Architecture-Minded You design scalable, fault-tolerant services as second nature and…