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AI Embedding Engineer

Nebulai Digital Solutions — United States · Posted ~4 hours ago

Senior Contract

Skills

embedding pipelines representation learning production machine learning evaluation embedding quality metrics drift monitoring retrieval systems RAG embeddings vector indexes ANN search hybrid retrieval re-ranking online serving

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Summary ✨ AI‑Generated

A contract AI Embedding Engineer will build and own production embedding pipelines supporting search, retrieval-augmented generation, recommendations, and similarity applications. The role emphasizes evaluation, drift detection, embedding quality, refresh strategies, and stable interfaces for downstream systems. Experience with production representation pipelines is required, while vector indexes, approximate nearest-neighbor search, hybrid retrieval, re-ranking, and online serving are valuable additions.

Highlights

Contract opportunity focused on production-grade AI embeddings, evaluation, retrieval, RAG, monitoring, and collaboration with experienced AI and platform engineering teams.

Description

Build embedding pipelines that stay useful from offline eval through live retrieval. Through Nebulai's Humans & AI Agents Marketplace, you join teams that design, train, and serve embeddings for search, RAG, recommendations, and similarity: quality metrics, refresh cadence, and the contracts downstream models depend on. You'll thrive here if you: - Have built or owned embedding or representation pipelines used in production - Care about evaluation, drift, and clear ownership of embedding contracts - Partner with retrieval, platform, and model engineers in enterprise settings - Prefer embeddings that stay stable as products and corpora change Bonus if you've: - Worked with vector indexes, ANN search, or hybrid retrieval - Supported a CoE standardizing embeddings across AI programs - Connected embeddings to monitoring, re-ranking, or online serving Contract work via Nebulai's marketplace. Apply at https://nebulai.app