Staff Vector Database & Retrieval Systems Engineer

Opportunity Overview

Location: 100% Remote (United States)
Employment Type: Full-Time Direct-Hire via Accel DNA
Compensation Range: $185,000 – $225,000 Base + Equity
Hiring Agency: Accel DNA – Premier Frontier Data & AI Talent Partner

Architect billion-scale approximate nearest neighbor (ANN) vector indices and hybrid search retrieval engines powering enterprise RAG solutions.

Key Responsibilities:

• Deploy, shard, and optimize high-concurrency vector database deployments (Qdrant, Milvus, Pinecone, pgvector).
• Design hybrid retrieval pipelines combining dense embeddings (HNSW, ScaNN) with sparse BM25 lexical ranking and reciprocal rank fusion (RRF).
• Implement adaptive chunking, semantic deduplication, and dynamic metadata filtering for multi-tenant document corpora.
• Benchmark retrieval recall, latency, and index memory footprints across diverse embedding dimension sizes.

What You Bring:

• 6+ years of distributed systems and database engineering experience, with 2+ years focused on vector indexing.
• Deep understanding of vector quantization (Scalar, Product Quantization) and ANN index data structures.
• Proficiency in Go, Rust, or modern Python with distributed Kubernetes operations experience.
• Familiarity with embedding model fine-tuning and retrieval evaluation metrics (NDCG@K, MRR).

How to Apply:

Interested in exploring this opportunity? Submit your profile or portfolio directly to contact@accel-dna.com or apply through https://accel-dna.com/contact-us/.