Required : • 3-5 years of experience in full-stack software development. • Proficiency in TypeScript, Python, and React. • Experience working with vector databases and integrating AI ...
Required : • 3-5 years of experience in full-stack software development. • Proficiency in TypeScript, Python, and React. • Experience working with vector databases and integrating AI ...
Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database. * Will be required to design a RESTful API that ...
Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database. * Will be required to design a RESTful API that ...
Software Engineer (Java + GenAI)
San Jose, CA · On-site
$60.75 - $83.25/hr
... Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com
Quick apply
Software Engineer (Java + GenAI)
San Jose, CA · On-site
$60.75 - $83.25/hr
... Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com
AI Engineer (Mid-Level)
San Francisco, CA · On-site
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
Quick apply
AI Engineer (Mid-Level)
San Francisco, CA · On-site
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
AI Engineer (Mid-Level)
San Francisco, CA · On-site
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
AI Engineer (Mid-Level)
San Francisco, CA · On-site
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
CA · On-site
$74.25 - $97.75/hr
Act as the primary NVIDIA AI Enterprise and vector database solutions expert for HyperPOD customer environments, bringing deep knowledge of NVAIE services (e.g., NIMs, NeMo, Triton, TensorRT ...
New
CA · On-site
$74.25 - $97.75/hr
Act as the primary NVIDIA AI Enterprise and vector database solutions expert for HyperPOD customer environments, bringing deep knowledge of NVAIE services (e.g., NIMs, NeMo, Triton, TensorRT ...
New
$74.25 - $97.75/hr
Act as the primary NVIDIA AI Enterprise and vector database solutions expert for HyperPOD customer environments, bringing deep knowledge of NVAIE services (e.g., NIMs, NeMo, Triton, TensorRT ...
$74.25 - $97.75/hr
Act as the primary NVIDIA AI Enterprise and vector database solutions expert for HyperPOD customer environments, bringing deep knowledge of NVAIE services (e.g., NIMs, NeMo, Triton, TensorRT ...
Responsibilities : • Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation. • ...
Responsibilities : • Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation. • ...
AI Test Engineer
Santa Clara, CA · Hybrid
$100K - $140K/yr
Support RAG pipelines, including vector databases and hybrid search * Integrate agents with external tools, APIs, and business systems * Run LLM/RAG evaluations to identify issues and improve ...
AI Test Engineer
Santa Clara, CA · Hybrid
$100K - $140K/yr
Support RAG pipelines, including vector databases and hybrid search * Integrate agents with external tools, APIs, and business systems * Run LLM/RAG evaluations to identify issues and improve ...
AI Software Engineer
Foster City, CA · On-site
RAG Architecture & Vector Databases * AI Agents & Conversational AI * LangChain / LlamaIndex / AutoGen * Backend & API Development * Cloud Technologies (AWS/GCP/Azure) * Docker / Kubernetes ...
Quick apply
AI Software Engineer
Foster City, CA · On-site
RAG Architecture & Vector Databases * AI Agents & Conversational AI * LangChain / LlamaIndex / AutoGen * Backend & API Development * Cloud Technologies (AWS/GCP/Azure) * Docker / Kubernetes ...
Agentic AI Lead Engineer with OCR experience - W2 Role
Woodland Hills, CA · On-site
$108K - $142K/yr
Name Required GCP Yes Vector Databases Yes Large Language Model (LLM) Yes TypeScript Yes LLMs - Open Sources Yes Azure Yes AWS Cloud Yes Python Yes AI Yes Javascript Yes Top Skills: • Strong ...
Quick apply
Agentic AI Lead Engineer with OCR experience - W2 Role
Woodland Hills, CA · On-site
$108K - $142K/yr
Name Required GCP Yes Vector Databases Yes Large Language Model (LLM) Yes TypeScript Yes LLMs - Open Sources Yes Azure Yes AWS Cloud Yes Python Yes AI Yes Javascript Yes Top Skills: • Strong ...
Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and ...
Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and ...
AI Engineer (Generative AI & Google Ecosystem)
$114K - $157K/yr
Implement robust vector search architectures using Google Vertex AI Vector Search or open-source vector databases (e.g., Chroma, Milvus). * Model Optimization: Employ advanced prompt engineering ...
AI Engineer (Generative AI & Google Ecosystem)
$114K - $157K/yr
Implement robust vector search architectures using Google Vertex AI Vector Search or open-source vector databases (e.g., Chroma, Milvus). * Model Optimization: Employ advanced prompt engineering ...
AI Engineer (Mid-Level)
San Francisco, CA · On-site
$180K - $400K/yr
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
AI Engineer (Mid-Level)
San Francisco, CA · On-site
$180K - $400K/yr
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
Required : • Deep knowledge of data storage platforms, databases, vector databases. • In-depth understanding of NVMe, high performance RDMA network protocols, and related technologies. • Deep ...
Required : • Deep knowledge of data storage platforms, databases, vector databases. • In-depth understanding of NVMe, high performance RDMA network protocols, and related technologies. • Deep ...
AI Engineer (Mid-Level)
San Francisco, CA · On-site
$180K - $400K/yr
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
Quick apply
AI Engineer (Mid-Level)
San Francisco, CA · On-site
$180K - $400K/yr
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...
Senior Software Engineer, Applied AI
San Francisco, CA · On-site
$144K - $190K/yr
... NoSQL, and vector databases to support low-latency AI retrieval and inference workloads. • Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust ...
Senior Software Engineer, Applied AI
San Francisco, CA · On-site
$144K - $190K/yr
... NoSQL, and vector databases to support low-latency AI retrieval and inference workloads. • Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust ...
Senior Software Engineer, Applied AI
San Francisco, CA · On-site
$144K - $190K/yr
... NoSQL, and vector databases to support low-latency AI retrieval and inference workloads. • Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust ...
Senior Software Engineer, Applied AI
San Francisco, CA · On-site
$144K - $190K/yr
... NoSQL, and vector databases to support low-latency AI retrieval and inference workloads. • Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust ...
The ideal candidate will have deep expertise in Large Language Models (LLMs), Agentic AI systems, Retrieval-Augmented Generation (RAG), Vector Databases, Multi-Agent Architectures, and Google Cloud ...
The ideal candidate will have deep expertise in Large Language Models (LLMs), Agentic AI systems, Retrieval-Augmented Generation (RAG), Vector Databases, Multi-Agent Architectures, and Google Cloud ...
Archer Data Scientist
Livermore, CA · On-site +1
Implement and optimize RAG architectures , combining LLMs with vector databases for semantic retrieval. * Develop and maintain model fine-tuning workflows, embedding generation, and knowledge ...
Archer Data Scientist
Livermore, CA · On-site +1
Implement and optimize RAG architectures , combining LLMs with vector databases for semantic retrieval. * Develop and maintain model fine-tuning workflows, embedding generation, and knowledge ...
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 California? For Vector Databases jobs in California, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in California look for? The top searched job categories for Vector Databases jobs in California are:
What cities in California are hiring for Vector Databases jobs? Cities in California with the most Vector Databases job openings:
Full-time
Posted 8 days ago
Job description
Job Summary:
Recruiting from Scratch is representing a dynamic startup on a mission to help companies grow with AGI. The Founding Fullstack Software Engineer will design and implement robust full-stack applications, collaborate with a team to build scalable solutions, and engage in continuous learning to enhance product offerings.
Responsibilities:
• Design and implement robust full-stack applications using TypeScript, Python, and React.
• Collaborate with a small, agile team to build scalable solutions that enhance user experience.
• Develop and maintain a vector database to support advanced data processing and retrieval.
• Participate in code reviews and contribute to best practices in software development.
• Engage in continuous learning and integration of new technologies to improve product offerings.
Qualifications:
Required:
• 3–5 years of experience in full-stack software development.
• Proficiency in TypeScript, Python, and React.
• Experience working with vector databases and integrating AI technologies.
• Strong problem-solving skills and ability to work collaboratively in a team environment.
Preferred:
• Familiarity with OpenAI technologies and their application in software development.
• Previous experience in a startup environment, particularly in the AI or software development sectors.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
Recruiting from Scratch is representing a dynamic startup on a mission to help companies grow with AGI. The Founding Fullstack Software Engineer will design and implement robust full-stack applications, collaborate with a team to build scalable solutions, and engage in continuous learning to enhance product offerings.
Responsibilities:
• Design and implement robust full-stack applications using TypeScript, Python, and React.
• Collaborate with a small, agile team to build scalable solutions that enhance user experience.
• Develop and maintain a vector database to support advanced data processing and retrieval.
• Participate in code reviews and contribute to best practices in software development.
• Engage in continuous learning and integration of new technologies to improve product offerings.
Qualifications:
Required:
• 3–5 years of experience in full-stack software development.
• Proficiency in TypeScript, Python, and React.
• Experience working with vector databases and integrating AI technologies.
• Strong problem-solving skills and ability to work collaboratively in a team environment.
Preferred:
• Familiarity with OpenAI technologies and their application in software development.
• Previous experience in a startup environment, particularly in the AI or software development sectors.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
About Recruiting from Scratch
Sourced by ZipRecruiter
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2021