Search Engineer (Software Engineer III)
Must be Authorized to work in the U.S. without sponsorship.
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.
Build & Ship Search and AI-Powered Systems
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
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.
Integrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows—even if this is new territory, you'll learn fast.
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.
Good communicator who thrives in cross-functional, agile teams alongside Sr. Engineers, ML engineers, architects, and product owners.
3+ years working with relational (e.g., PostgreSQL, MySQL, Oracle) and non-relational databases (e.g., MongoDB, DynamoDB).
Strongly Preferred — Search & ML
You don't need all of these on day one—but the more you bring, the faster you'll contribute:
Elasticsearch, OpenSearch, Solr, or Algolia—index management, query DSL, relevance tuning.
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.
A working proof-of-concept beats a thousand slide decks. Speed and quality are both non-negotiable.
You pick up new technologies fast and have a genuine eagerness to master whatever comes next.
You design scalable, fault-tolerant services as second nature and aren't afraid to challenge the status quo.
Code isn't done until it's tested, documented, and monitored. Your name on a release means something.
You may not have built a search system yet—but you're excited by the challenge and ready to go deep.
You give and welcome candid feedback and actively make the people around you better.
PHYSICAL DEMANDS:
LICENSES & CERTIFICATIONS: None required.
SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility
BUDGET RESPONSIBILITY: No
COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.
DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.
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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.
