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Vector Databases Jobs in New York, NY (NOW HIRING)

VAST Data

Senior Software Engineer - Database

Manhattan, NY · On-site +1

$116K - $158K/yr

Proven track record of backend work on high-throughput databases, vector stores, or real-time processing engines * Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to ...

VAST Data

Senior Software Engineer - Database

Manhattan, NY · On-site +1

$116K - $158K/yr

Proven track record of backend work on high-throughput databases, vector stores, or real-time processing engines * Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to ...

Thinklusive

GenAI Lead

Manhattan, NY · On-site

Embeddings & Vector Databases * OpenAI / Azure OpenAI / AWS Bedrock * AI/ML application development * AWS or Azure * Strong technical leadership and client-facing skills Responsibilities * Lead ...

New

Northern Base

Gen AI Copilot Lead

Edison, NJ · On-site

Vector Databases * LLM Evaluation & Optimization * Python / C# / JavaScript Development * REST APIs & Enterprise Integration Patterns * Azure Cloud Architecture * AI Solution Architecture & Design

CLPS Global

AI Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Python, Data Engineering, ETL/ELT, Data Pipelines, LLM Applications, Agentic AI, RAG, LangChain, LangGraph, LlamaIndex, Vector Databases, Kubernetes, Cloud Platforms (AWS/Azure/Google Cloud Platform ...

New

Hearst

Senior Product Manager, AI Content Platform

Manhattan, NY

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive development of semantic search, vector databases, retrieval pipelines, and RAG capabilities that improve discoverability and AI performance. * Evaluate emerging AI technologies, foundation ...

Hearst

Senior Product Manager, AI Content Platform

Manhattan, NY · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive development of semantic search, vector databases, retrieval pipelines, and RAG capabilities that improve discoverability and AI performance. * Evaluate emerging AI technologies, foundation ...

Hearst

Senior Product Manager, AI Content Platform

Manhattan, NY

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive development of semantic search, vector databases, retrieval pipelines, and RAG capabilities that improve discoverability and AI performance. * Evaluate emerging AI technologies, foundation ...

Photon

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt ...

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Showing results 1-20

All JobsVector Databases JobsVector Databases Jobs in New York, NY

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What are popular job titles related to Vector Databases jobs in New York, NY?

For Vector Databases jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Vector Databases jobs in New York, NY look for?

The top searched job categories for Vector Databases jobs in New York, NY are:

What cities near New York, NY are hiring for Vector Databases jobs?

Cities near New York, NY with the most Vector Databases job openings:

Vector Databases jobs near you
Infographic showing various Vector Databases job openings in New York, NY as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 1% Temporary, and 6% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Senior Retrieval Engineer - RAG & Vector Search- 2+ yrs- New York, New York- Onsite

iMedhas Consulting Services

Manhattan, NY • On-site

$115K - $158K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description :

ResponsibilitiesLead the design and development of scalable vectorization pipelines to convert text, PDFs, and multimodal data into high-quality embeddings using models like BGE, Ada, or Cohere.Manage and optimize vector databases (Pinecone, Weaviate, Milvus, pgvector), including building efficient indexing strategies (HNSW, DiskANN).Develop advanced chunking and parsing techniques to maintain context and improve retrieval accuracy.Build and fine-tune hybrid search workflows combining dense vector search with sparse keyword methods (e.g., BM25).Create evaluation frameworks and gold-standard datasets to measure retrieval performance (Hit Rate, MRR, Faithfulness).Implement re-ranking pipelines using cross-encoders to refine results before sending them to LLMs.Work closely with engineering and product teams to ensure scalable, high-performance retrieval syste

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