Senior Full Stack AI/Postgres/n8n/LLM/Meta tagging schema
A) Storefront & Search UI (React/Next.js + Shopify)
- Build PDP/collections and the “Ask Parts” widget consuming ES/RAG APIs; emit JSON-LD, sitemaps, UTM-aware links.
- Define and surface metafields/metaobjects (fitment, manuals, related media); app proxy to backend services.
- AI in this lane: integrate semantic results, citations, and suggestion chips; A/B prompts and track retrieval quality.
B) Backend & Data Platform (APIs/ES/Postgres/S3)
- Own schemas, migrations, ETL; ES index templates & ingest pipelines; search endpoints; presigned media URLs.
- Operate n8n flows; QC dashboards; retries/DLQs; enforce metadata validation at ingest and propagation to Shopify.
- AI in this lane: embedding generation/orchestration, prompt-safe RAG endpoints with guardrails, offline relevance evaluation.
C) AI/RAG & Media (NLP/CV/Embeddings)
- Transcribe/segment media, generate embeddings, tag assets (CLIP/YOLO), dedupe (phash); maintain confidence gates.
- Produce video/image/product sitemaps; prove indexing via Search Console telemetry and fix coverage issues.
- AI in this lane: model selection/tuning, chunking strategies, evaluation sets, and continuous quality monitoring.
Required skills experience
| Cloud | 5 years |
| JavaScript | 2 years |
| React.js | 1 year |
| REST API | 3 years |
| MongoDB | 1 year |
+ 1 more
| Python | 2 years |
Required domain experience
| E-commerce / Marketplace | 3 years |
Required languages
| English | B2 - Upper Intermediate |
JavaScript, React, Node.js, REST API, MongoDB, PostgreSQL, Next.js, Nest.js, Python
Published 4 September · Updated 19 December
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$4000-5500
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