ANN/Vector Database engineer

5 days ago

Bengaluru, India HYI.AI Full time

Description : Were Hiring ANN / Vector Database : Remote : : 4+ Period : Immediate Joiners Role Description : - Extend our database with native vector capabilities including data types, ANN indexes, query planning, and developer APIs.- Enable applications to run hybrid (sparse + dense) search at production scale with ACID Responsibilities : - Implement vector data model features : VECTOR/EMBEDDING column types, distance operators (L2, cosine, dot), and server-side normalization.- Build ingestion/backfill pipelines for embeddings, including bulk loaders and online updates.- Develop production-grade ANN indexing (HNSW / IVF-Flat / IVF-PQ) in C/C++, integrated with WAL, checkpoints, and snapshots for crash safety and fast recovery.- Manage index lifecycle : online CREATE INDEX, background build/merge, partial rebuilds, compaction/vacuum, tombstone handling.- Ensure transactional consistency : MVCC, visibility rules, point-in-time queries, and predictable latency under mixed workloads.- Integrate query planner/optimizer : new planner nodes, hybrid plans, predicate pushdown, join strategies, and parameterized search.- Support distributed operations : replication, shard placement/rebalancing, hot-index warmup, and tenant-level resource isolation.- Build APIs, SDKs, and admin tools : SQL syntax, gRPC/HTTP endpoints, Python/Java/Node SDKs, collection/index management, backups, zero-downtime upgrades.- Ensure observability : metrics, traces, slow-query analysis, pg_stat-like views for ANN Qualifications : - 4+ years building performance-critical systems in C/C++, plus experience in Python, Node.js, or Java.- Strong knowledge of data structures, concurrency, memory layout, profiling, and low-latency I/O.- Hands-on experience with search/vector stacks such as FAISS, hnswlib, ScaNN, NMSLIB, Milvus, Qdrant, Vespa, Experience integrating with database internals : WAL, MVCC/ACID, query planning, storage to Have : - SIMD (AVX2/AVX-512/NEON), GPU/CUDA/ROCm, or FPGA acceleration.- Knowledge of LSM/B-tree/columnar storage, compaction strategies, Experience with re-ranking (MMR, late interaction/ColBERT), PQ/OPQ/SQ quantization, workload-aware autotuning.- Multi-tenant resource isolation, k8s operations, packaging (static, musl, cross-compile).- Developer tooling craftsmanship (docs, CLIs, codegen, examples).- Exposure to generative AI is an Join HYI.AI : - Work on cutting-edge vector search and AI infrastructure.- Join a collaborative remote-first work culture.- Opportunity to build enterprise-grade vector search engines used at production scale. (ref:hirist.tech)

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