Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases. * Build conversational memory, session management, and context-aware ...
Quick apply
Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases. * Build conversational memory, session management, and context-aware ...
Enterprise AI Architect
Manhattan, NY · On-site
$76 - $98/hr
... of vector databases, semantic search, embeddings, and enterprise AI retrieval patterns. • Familiarity with AI orchestration frameworks and libraries such as LangChain, Semantic Kernel, AutoGen ...
Enterprise AI Architect
Manhattan, NY · On-site
$76 - $98/hr
... of vector databases, semantic search, embeddings, and enterprise AI retrieval patterns. • Familiarity with AI orchestration frameworks and libraries such as LangChain, Semantic Kernel, AutoGen ...
Principal AI Architect
Long Beach, NY · On-site
$147.90 - $254.80/hr
Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high‑availability, cost‑optimized compute and storage strategies for AI ...
Principal AI Architect
Long Beach, NY · On-site
$147.90 - $254.80/hr
Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high‑availability, cost‑optimized compute and storage strategies for AI ...
Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases. * Build conversational memory, session management, and context-aware ...
Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases. * Build conversational memory, session management, and context-aware ...
Senior Gen AI Developer
Brooklyn, NY · On-site
$132K - $177K/yr
LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL/PL-SQL, ER design, query optimization. • 7+ years microservices/web: REST APIs, MVC ...
Senior Gen AI Developer
Brooklyn, NY · On-site
$132K - $177K/yr
LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL/PL-SQL, ER design, query optimization. • 7+ years microservices/web: REST APIs, MVC ...
SAP AI Engineering Architect
Edison, NJ · On-site
Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector databases, and knowledge graphs. * Understanding of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP ...
SAP AI Engineering Architect
Edison, NJ · On-site
Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector databases, and knowledge graphs. * Understanding of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP ...
Senior Gen AI Developer (ONLY W2)
Brooklyn, NY · On-site
$132K - $177K/yr
LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL/PL-SQL, ER design, query optimization. • 7+ years microservices/web: REST APIs, MVC ...
Senior Gen AI Developer (ONLY W2)
Brooklyn, NY · On-site
$132K - $177K/yr
LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL/PL-SQL, ER design, query optimization. • 7+ years microservices/web: REST APIs, MVC ...
Build hybrid retrieval systems combining Knowledge Graphs + vector databases * Integrate structured graph reasoning with LLMs to reduce hallucination and improve explain ability
Build hybrid retrieval systems combining Knowledge Graphs + vector databases * Integrate structured graph reasoning with LLMs to reduce hallucination and improve explain ability
Technical Product Marketing Manager
New York, NY · On-site
$126K - $145K/yr
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 109,000 customers across ...
Technical Product Marketing Manager
New York, NY · On-site
$126K - $145K/yr
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 109,000 customers across ...
Build hybrid retrieval systems combining Knowledge Graphs + vector databases * Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability
Build hybrid retrieval systems combining Knowledge Graphs + vector databases * Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability
... vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences. • Partner closely with Product, Engineering, and Risk teams to deliver ...
... vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences. • Partner closely with Product, Engineering, and Risk teams to deliver ...
Software Engineer, Product
New York, NY · On-site
$220K/yr
Built production systems using LLMs, vector databases, and retrieval pipelines. * Thrived in an early-stage startup. * U.S. Person status required. May involve export-controlled data. Bonus if you've.
Software Engineer, Product
New York, NY · On-site
$220K/yr
Built production systems using LLMs, vector databases, and retrieval pipelines. * Thrived in an early-stage startup. * U.S. Person status required. May involve export-controlled data. Bonus if you've.
Built production systems using LLMs, vector databases, and retrieval pipelines. * Thrived in an early-stage startup. * U.S. Person status required. May involve export-controlled data. Bonus if you've.
Built production systems using LLMs, vector databases, and retrieval pipelines. * Thrived in an early-stage startup. * U.S. Person status required. May involve export-controlled data. Bonus if you've.
... vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences. • Partner closely with Product, Engineering, and Risk teams to deliver ...
... vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences. • Partner closely with Product, Engineering, and Risk teams to deliver ...
Cloud Engineer- Data/AI Focused
$100K - $160K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Cloud Engineer- Data/AI Focused
$100K - $160K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Cloud Engineer- Data/AI Focused
New York, NY · On-site
$100K - $160K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
Quick apply
Cloud Engineer- Data/AI Focused
New York, NY · On-site
$100K - $160K/yr
Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases * Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
GEN AI Architect@ NYC, NY & Charlotte, NC
Manhattan, NY · On-site
$69.50 - $91.50/hr
Understanding of data pipelines and vector databases * Strong problem-solving and communication skills
GEN AI Architect@ NYC, NY & Charlotte, NC
Manhattan, NY · On-site
$69.50 - $91.50/hr
Understanding of data pipelines and vector databases * Strong problem-solving and communication skills
Enterprise Account Executive - New York
New York, NY · On-site
$100K - $175K/yr
Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...
Enterprise Account Executive - New York
New York, NY · On-site
$100K - $175K/yr
Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector ...
AI Tech Lead
New York, NY · On-site
$140K - $160K/yr
Deep understanding of vector databases, RAG pipelines, embeddings, and prompt engineering.
Quick apply
AI Tech Lead
New York, NY · On-site
$140K - $160K/yr
Deep understanding of vector databases, RAG pipelines, embeddings, and prompt engineering.
AI Tech Lead
Manhattan, NY · On-site
Deep understanding of vector databases, RAG pipelines, embeddings, and prompt engineering.
AI Tech Lead
Manhattan, NY · On-site
Deep understanding of vector databases, RAG pipelines, embeddings, and prompt engineering.
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:
Contractor
Posted 10 days ago
Job description
Senior AI Agent Engineer – Google ADK & Generative AI
About the Role
We are looking for an experienced Senior AI Agent Engineer to lead the design and development of enterprise-grade AI agents using Google Agent Development Kit (ADK) and Google Gemini. This role is ideal for someone passionate about building intelligent, autonomous systems that can reason, plan, collaborate, and execute business workflows across enterprise applications.
You will work closely with product managers, architects, and business stakeholders to develop AI-powered solutions that integrate seamlessly with Google Workspace, Google Cloud, internal platforms, and third-party enterprise systems. The ideal candidate has strong software engineering fundamentals, hands-on experience with Generative AI technologies, and a proven ability to deliver production-ready AI solutions.
Key Responsibilities- Design, develop, and deploy intelligent AI agents using Google Agent Development Kit (ADK).
- Build scalable multi-agent systems capable of planning, reasoning, tool orchestration, and autonomous task execution.
- Integrate AI agents with Google Workspace services, including Gmail, Drive, Docs, Sheets, Calendar, Meet, and Chat.
- Develop secure integrations with enterprise applications, REST APIs, databases, and external services.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases.
- Build conversational memory, session management, and context-aware interactions for AI agents.
- Optimize prompts, reasoning strategies, and tool selection to improve agent accuracy and reliability.
- Deploy and manage AI solutions on Google Cloud Platform (GCP), including Vertex AI and related cloud services.
- Implement authentication, authorization, and secure access using OAuth 2.0, IAM, and enterprise security standards.
- Develop monitoring, logging, tracing, and evaluation frameworks to ensure production reliability.
- Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven business solutions.
- Stay current with advancements in Generative AI, LLMs, AI agents, and cloud technologies.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
- 5+ years of software engineering experience developing enterprise applications.
- 2+ years of hands-on experience building Generative AI or Large Language Model (LLM) solutions.
- Practical experience with Google Agent Development Kit (ADK).
- Experience developing applications using Google Gemini models.
- Strong programming skills in Python.
- Experience building RESTful APIs and microservices.
- Hands-on experience designing AI agents or workflow orchestration frameworks.
- Strong understanding of Prompt Engineering, Function Calling, and AI Agent architectures.
- Experience implementing Retrieval-Augmented Generation (RAG).
- Experience working with Vector Databases.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience with Git, CI/CD pipelines, and Agile development methodologies.
- Experience deploying AI solutions using Vertex AI Agent Engine.
- Experience integrating Google Workspace APIs.
- Experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.
- Knowledge of Model Context Protocol (MCP).
- Experience with Docker and Kubernetes.
- Experience working with BigQuery, Firestore, Cloud SQL, or AlloyDB.
- Familiarity with AI observability, evaluation frameworks, and LLMOps practices.
- Experience building enterprise copilots or AI assistants.
About First Soft Solutions
Sourced by ZipRecruiter
First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
East Brunswick, NJ, US
Year founded
2006