... Vector database integration • Databases o Vector Databases o MongoDB • Production-grade ML Engineering o Scalable, production-ready ML/GenAI solutions Responsibilities: • Design and implement ...
... Vector database integration • Databases o Vector Databases o MongoDB • Production-grade ML Engineering o Scalable, production-ready ML/GenAI solutions Responsibilities: • Design and implement ...
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 ...
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 ...
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 ...
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 ...
Senior Software Developer_2/Generative AI Developer
New York, NY · On-site
$40 - $45/hr
Optimizing, designing and/or deploying Retrieval Augmented Generation (RAG) vector databases. * Optimize database performance, manage stored procedures, and ensure data quality across Oracle and ...
Quick apply
Senior Software Developer_2/Generative AI Developer
New York, NY · On-site
$40 - $45/hr
Optimizing, designing and/or deploying Retrieval Augmented Generation (RAG) vector databases. * Optimize database performance, manage stored procedures, and ensure data quality across Oracle and ...
... vector databases • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) • Strong system design skills with experience building and scaling cloud-based applications Roles ...
... vector databases • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) • Strong system design skills with experience building and scaling cloud-based applications Roles ...
Optimizing, designing and/or deploying Retrieval Augmented Generation (RAG) vector databases. * Optimize database performance, manage stored procedures, and ensure data quality across Oracle and ...
Quick apply
Optimizing, designing and/or deploying Retrieval Augmented Generation (RAG) vector databases. * Optimize database performance, manage stored procedures, and ensure data quality across Oracle and ...
Context Engineer (Model Risk Focus)
New York, NY · On-site
$50 - $53/hr
Work with vector databases and embedding techniques to enable retrieval augmented context. * Partner with AI engineers and architects to integrate context layers into agentic systems. Required Skills
Context Engineer (Model Risk Focus)
New York, NY · On-site
$50 - $53/hr
Work with vector databases and embedding techniques to enable retrieval augmented context. * Partner with AI engineers and architects to integrate context layers into agentic systems. Required Skills
Senior Backend Engineer (AI Focus)
New York, NY · On-site
$140K - $190K/yr
Vector databases (Qdrant, Pinecone) or embeddings experience * LLM framework experience (LangChain, LlamaIndex) * Healthcare or life sciences domain experience
Senior Backend Engineer (AI Focus)
New York, NY · On-site
$140K - $190K/yr
Vector databases (Qdrant, Pinecone) or embeddings experience * LLM framework experience (LangChain, LlamaIndex) * Healthcare or life sciences domain experience
AI architect in NYC, NY (Hybrid role)
Manhattan, NY · Hybrid
$76 - $94.25/hr
Someone who can help in designing scalable AI architecture for Model lifecycle Deep understanding of LLMs, Agentic frameworks like LangChain Knowledge of data pipelines, vector databases, workflow ...
AI architect in NYC, NY (Hybrid role)
Manhattan, NY · Hybrid
$76 - $94.25/hr
Someone who can help in designing scalable AI architecture for Model lifecycle Deep understanding of LLMs, Agentic frameworks like LangChain Knowledge of data pipelines, vector databases, workflow ...
AI/ ML Engineer
New York, NY · Remote
$60 - $62/hr
Work with vector databases for embeddings and semantic search * Collaborate with product, data, and engineering teams to translate business needs into AI solutions * Optimize model performance ...
Quick apply
AI/ ML Engineer
New York, NY · Remote
$60 - $62/hr
Work with vector databases for embeddings and semantic search * Collaborate with product, data, and engineering teams to translate business needs into AI solutions * Optimize model performance ...
Java Developer :: Jersey City, Tampa, Newark :: Hybrid
Jersey City, NJ · Hybrid
$53.25 - $69/hr
Integrate vector databases such as Pinecone, PGVector, Mongo Atlas, Neo4j, or similar. * Work with NLP techniques and unstructured data processing. * Deploy AI/ML solutions into production ...
Java Developer :: Jersey City, Tampa, Newark :: Hybrid
Jersey City, NJ · Hybrid
$53.25 - $69/hr
Integrate vector databases such as Pinecone, PGVector, Mongo Atlas, Neo4j, or similar. * Work with NLP techniques and unstructured data processing. * Deploy AI/ML solutions into production ...
AI Architect - Model Lifecycle
New York, NY · On-site
$57 - $60/hr
Design scalable architecture using vector databases, embeddings, and workflow orchestration. * Work with engineering teams to integrate AI components into enterprise systems. * Provide technical ...
AI Architect - Model Lifecycle
New York, NY · On-site
$57 - $60/hr
Design scalable architecture using vector databases, embeddings, and workflow orchestration. * Work with engineering teams to integrate AI components into enterprise systems. * Provide technical ...
Design and architect AI-powered applications using LLMs, RAG, Vector Databases, and Agentic AI frameworks. * Build scalable multi-agent orchestration solutions and intelligent workflows. * Define AI ...
Design and architect AI-powered applications using LLMs, RAG, Vector Databases, and Agentic AI frameworks. * Build scalable multi-agent orchestration solutions and intelligent workflows. * Define AI ...
... LLMs, vector databases, and AI infrastructure to power intelligent product experiences. • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with ...
... LLMs, vector databases, and AI infrastructure to power intelligent product experiences. • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with ...
Staff+ Software Engineer, Databases
$320K - $485K/yr
Experience with Redis, Temporal, vector databases, or async job processing frameworks * Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data ...
Staff+ Software Engineer, Databases
$320K - $485K/yr
Experience with Redis, Temporal, vector databases, or async job processing frameworks * Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data ...
Sr Gen AI Engineer - NY/NJ
Manhattan, NY · On-site
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 ...
Sr Gen AI Engineer - NY/NJ
Manhattan, NY · On-site
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 ...
AI Engineer - NY
Manhattan, NY · On-site
Integrate agents with vector databases, RAG pipelines, and knowledge graphs. Production AI Systems * Implement observability, evaluation, and guardrails for agent behavior. * Optimize AI pipelines ...
AI Engineer - NY
Manhattan, NY · On-site
Integrate agents with vector databases, RAG pipelines, and knowledge graphs. Production AI Systems * Implement observability, evaluation, and guardrails for agent behavior. * Optimize AI pipelines ...
Integrate agents with vector databases, RAG pipelines, and knowledge graphs. Production AI Systems * Implement observability, evaluation, and guardrails for agent behavior. * Optimize AI pipelines ...
Integrate agents with vector databases, RAG pipelines, and knowledge graphs. Production AI Systems * Implement observability, evaluation, and guardrails for agent behavior. * Optimize AI pipelines ...
Design vector databases (Pinecone, Weaviate, FAISS, etc.) * Build ingestion pipelines and knowledge retrieval systems * Team leadership * Mentor engineers and guide best practices * Conduct code ...
Design vector databases (Pinecone, Weaviate, FAISS, etc.) * Build ingestion pipelines and knowledge retrieval systems * Team leadership * Mentor engineers and guide best practices * Conduct code ...
Design vector databases (Pinecone, Weaviate, FAISS, etc.) * Build ingestion pipelines and knowledge retrieval systems * Team leadership * Mentor engineers and guide best practices * Conduct code ...
Design vector databases (Pinecone, Weaviate, FAISS, etc.) * Build ingestion pipelines and knowledge retrieval systems * Team leadership * Mentor engineers and guide best practices * Conduct code ...
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?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data 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 Queens, NY? For Vector Databases jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Queens, NY look for? The top searched job categories for Vector Databases jobs in Queens, NY are:
What cities near Queens, NY are hiring for Vector Databases jobs? Cities near Queens, NY with the most Vector Databases job openings:
Job description
AI/ML Engineer
Location: Mason, OH / Woodland Hills, CA
Duration: Fulltime
Job Description:
Skills Desired:
• Python (Expert level)
• Machine Learning & Model Training
o Training, evaluation, fine tuning
o Tagging and labeling workflows
• Generative AI & LLMs
o Prompt engineering for LLM-based applications
• Document Processing
o Document extraction, parsing, and chunking
o Handling structured & unstructured data
• Embeddings & Vector Search
o Embedding generation
o Vector database integration
• Databases
o Vector Databases
o MongoDB
• Production-grade ML Engineering
o Scalable, production-ready ML/GenAI solutions
Responsibilities:
• Design and implement AI/ML solutions using Python and modern ML frameworks
• Develop and optimize Prompt Engineering strategies for LLM-based systems
• Build and deploy Retrieval-Augmented Generation (RAG) pipelines
• Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications
• Develop and orchestrate Agentic AI workflows with tool/function calling
• Implement vector search solutions using Vector Databases
• Ensure CI/CD integration and cloud deployment (Azure preferred)
• Establish observability, monitoring, and evaluation frameworks for AI systems
• Collaborate with cross-functional teams to deliver production-ready AI features
About Jconnect Infotech
Sourced by ZipRecruiter
Jconnect Infotech is an esteemed corporation that operates within the Information Technology sector based in Noida, Uttar Pradesh, India. As a technology-driven firm, it offers various services such as IT Solutions, Software Development, Staffing Solutions and Management Consulting to businesses globally. Established as a pivotal player in its field, Jconnect Infotech was founded on the principles of delivering optimal solutions and promoting technological advancement within various industries. Their mission is to deliver innovative, cost-effective solutions and services to clients while maintaining their core values of integrity, excellence, and customer satisfaction.
Industry
Specialized design services
Company size
201 - 500 Employees
Headquarters location
Noida, Uttar Pradesh, in