ANN/Vector Database engineer

4 days ago

Bengaluru, Karnataka, India HIRE YOO INFOTECH PRIVATE LIMITED Full time ₹ 10,00,000 - ₹ 25,00,000 per year

Description : Were Hiring ANN / Vector Database Engineer.


Location : Remote (India).


Company : HYI.AI.


Experience : 4+ Years.


Notice Period : Immediate Joiners Preferred.


Key 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 guarantees.


Key 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 workloads.


Minimum Qualifications :

years building performance-critical systems in C/C++, plus experience in Python, , 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, Lucene/Elasticsearch/OpenSearch.

- Experience integrating with database internals : WAL, MVCC/ACID, query planning, storage engines.


Nice to Have :

- SIMD (AVX2/AVX-512/NEON), GPU/CUDA/ROCm, or FPGA acceleration.

- Knowledge of LSM/B-tree/columnar storage, compaction strategies, snapshot/backup/restore.

- 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 advantage.


Why 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.

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