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

BeaconFire Inc.

Agentic AI Developer (Python)

East Windsor, NJ · On-site

$50 - $69/hr

Work with vector databases , knowledge graphs , and graph databases to improve retrieval quality. * Evaluate and optimize AI systems using retrieval metrics, grounding checks, hallucination detection ...

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

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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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 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 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 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 63% Full Time, and 37% Contract. Highlights an 100% In-person job distribution.

AI / ML Engineer - Remote (US)

Gain America

Hicksville, NY • On-site, Remote

$135K/yr

Contractor

Posted 7 days ago

Job description

Job description
Gain America is recruiting a AI / ML Engineer for contract and contract-to-hire engagements with our enterprise clients across the U.S.. Take machine-learning and LLM systems from prototype to production for teams putting AI at the center of their products.
Work model: Fully remote (U.S.-based)
Core stack: Python, LLMs, PyTorch, RAG, vector databases, MLOps
What you'll do
  • Build and fine-tune ML and LLM-powered features
  • Design retrieval-augmented generation pipelines with vector databases
  • Productionize models with sound MLOps practices and monitoring
  • Evaluate model quality, latency, and cost trade-offs

What you bring
  • 4+ years in ML/AI engineering with strong Python
  • Hands-on experience with LLMs, RAG, and vector stores
  • Deep-learning frameworks such as PyTorch
  • Experience deploying and monitoring models in production

Gain America is a technology staffing partner placing skilled consultants with leading employers across financial services, insurance, healthcare, and the public sector. You'll work with a dedicated recruiter who advocates for you from first call through offer. Client names are shared once there is a mutual fit.
Apply today to be considered for this and related openings across the U.S..

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