1

Vector Databases Jobs in Secaucus, NJ (NOW HIRING)

AI Native Developer

Whippany, NJ · On-site +1

$48 - $53/hr

Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search. * API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling ...

AI Native Developer

Whippany, NJ · On-site +1

$48 - $53/hr

Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search. * API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling ...

AI Engineers - USA

New York, NY

$134K - $176K/yr

Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. * Create evaluation frameworks to measure and monitor system performance ...

AI Engineers - USA

New York, NY · On-site

$134K - $176K/yr

Design and implement production AI systems integrating LLMs, RAG pipelines, vector databases, and agentic frameworks. * Create evaluation frameworks to measure and monitor system performance ...

AI Engineer

Madison, NJ · On-site

$108K - $131K/yr

Develop and manage relational databases (PostgreSQL/RDS), vector databases (OpenSearch, Milvus, Amazon S3 Vectors), and knowledge graphs (Amazon Neptune, Neo4j). * Build and operate data ...

next page

Showing results 1-20

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 Secaucus, NJ? For Vector Databases jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Secaucus, NJ look for? The top searched job categories for Vector Databases jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Vector Databases jobs? Cities near Secaucus, NJ with the most Vector Databases job openings:
Infographic showing various Vector Databases job openings in Secaucus, NJ as of June 2026, with employment types broken down into 62% Full Time, 29% Part Time, and 9% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution.
AI Native Developer

AI Native Developer

Computer Task Group, Inc

Whippany, NJ • On-site, Remote

$48 - $53/hr

Full-time

Posted 17 days ago


Job description

Overview

CTG is seeking to fill an AI Native Developer position for our client.

Location: Whippany, NJ (hybrid remote)
Duration: 6 months

Job Description

An AI-Native Developer (or AI-Native Engineer) experienced to build applications with Artificial Intelligence embedded into their core architecture, workflows, and delivery lifecycle from day one, rather than treating AI as a tacked-on feature. Focus mainly on model training, AI-native developers specialize in using AI to write code, leveraging LLMs (Large Language Models), and constructing agentic workflows to accelerate production.

Core Responsibilities

  • Agentic & LLM System Development: Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling, and implement memory modules.
  • AI-Powered Coding: Use AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to rapidly prototype and generate production-ready code.
  • RAG Pipeline Construction: Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
  • API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling, structured outputs, and workflow automation.
  • Production Deployment: Take AI prototypes from Proof of Concept (PoC) to deployment using cloud platforms (AWS, GCP, Azure, Vercel).

Required Technical Skills

  • Programming Languages: High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js).
  • AI Frameworks & Libraries: Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
  • Vector Databases: Familiarity with technologies such as Pinecone, Chroma, Milvus, or Vertex AI Vector Search.
  • Development Tools: Hands-on experience with AI coding tools such as Cursor, Claude Code, and GitHub Copilot.
  • Software Engineering Fundamentals: Strong understanding of Git, debugging, testing, API design, and clean code principles.

Preferred Qualifications

  • Experience building custom GPTs, Claude Projects, or Multi-agent orchestration.
  • Understanding of AI governance, security, and "human-in-the-loop" mechanisms.
  • Experience with DevOps and MLOps tools (MLFlow, Kubeflow).

Key Characteristics

  • AI-Centric Mindset: Solves problems by blending human judgment with machine intelligence, producing 3–10× more output.
  • Adaptability: Learns new AI tools faster than the industry can create them.
  • Product Focus: Focuses on building, optimizing, and deploying AI applications quickly rather than just researching models.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $48.00 to $53.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.


Computer Task Group logo

About Computer Task Group

Sourced by ZipRecruiter

We know that achieving our mission begins and ends with our people—and by people we mean you. Regardless of individual roles or responsibilities, regardless of industry or subject matter expertise, our lives happen in relation to other people—our colleagues, clients, and partners. CTG cultivates a workplace that attracts and develops the best people. Being Great Place to Work-CertifiedTM not only supports our Vision but also validates the rewarding workplace culture that has made CTG a leading IT and digital solutions and services company for more than 55 years.

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

Year founded

1966

Social media