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Pinecone Vector Databases Jobs in Dedham, MA (NOW HIRING)

Software Engineer III

Boston, MA · On-site +1

$136K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus). * Build and enhance agentic AI systems utilizing ...

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus). * Build and enhance agentic AI systems utilizing ...

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus). * Build and enhance agentic AI systems utilizing ...

Lead AI Engineer - AWS Platform

Boston, MA · On-site +1

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with vector databases (Pinecone, Weaviate, etc.) * Experience in regulated industries (insurance, finance, healthcare) * Exposure to microservices and containerized environments (Docker ...

AI Developer

Boston, MA · On-site

$70 - $110/hr

Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. * Deploy and manage models on Azure Machine Learning ...

Lead AI Engineer

Quincy, MA · On-site

$180 - $280/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, develop, and optimize Retrieval‑Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus). * Build and enhance agentic AI systems utilizing ...

New

... vector databases such as PGVector, Pinecone, Weaviate, or Milvus • Experience with cloud platforms including AWS, Azure, or GCP • Knowledge of containerization and orchestration such as Docker ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models. • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and ...

... systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models. • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and ...

Senior Software Engineer

Wakefield, MA

$129K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with vector databases (Pinecone, pgvector, OpenSearch) for semantic search or RAG pipelines * Experience evaluating and fine-tuning LLM outputs for accuracy, safety, and cost efficiency ...

Senior Software Engineer

Wakefield, MA · On-site

$129K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with vector databases (Pinecone, pgvector, OpenSearch) for semantic search or RAG pipelines * Experience evaluating and fine-tuning LLM outputs for accuracy, safety, and cost efficiency ...

AI Architect

Woburn, MA

$69 - $90.75/hr

  • Medical

  • PTO

Experience with vector databases or search platforms such as Pinecone,Weaviate, Milvus,pgvector, Elasticsearch, OpenSearch, or Azure AI Search * Experience with automation and integration platforms ...

Staff / Principal Engineer

Boston, MA · On-site +1

$163K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Optional / Plus • Experience in healthcare technology, including knowledge of HL7, FHIR, or clinical data standards. • Familiarity with vector databases (e.g., Pinecone, Weaviate, Azure AI Search ...

Showing results 21-40

Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone vector databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What job categories do people searching Pinecone Vector Databases jobs in Dedham, MA look for?

The top searched job categories for Pinecone Vector Databases jobs in Dedham, MA are:

What cities near Dedham, MA are hiring for Pinecone Vector Databases jobs?

Cities near Dedham, MA with the most Pinecone Vector Databases job openings:

Software Engineer III

Chewy

Boston, MA • On-site, Remote

$136K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

We are hiring amazing humans, and we hope that includes you! 

Are you looking for more than just a job? At Chewy, you’ll find yourself on a career path with other outstanding humans, like yourself. Join a culture that values all your contributions, your outstanding identity, and the career objectives you've established. We want to give you the opportunity to grow, earn competitive pay, and be happy. Sounds simple, but we love it! 
 

Our Opportunity: 
Chewy is seeking a Software Engineer III to join an established technology team within our Discovery organization in Bellevue, WA or Boston, MA. At Chewy, it is our mission to be the most trusted and convenient destination for pet parents (and partners) everywhere. As part of the Search and Listings team, you will contribute to the design and implementation of next generation chatbot and search systems that power intelligent, personalized, and delightful customer experiences at Chewy. You will work closely with cross-functional partners in Data Science, Cloud Engineering, and Product to architect and implement scalable systems that leverage large language models, conversational AI, and vector search. You’ll be a technical leader guiding end-to-end delivery - from design and prototyping to productionizing services and deploying them on cloud-based infrastructure. 

What You'll Do: 
As a Software Engineer III focusing on back-end development of our Search and Listings Team, you will work to deliver an outstanding experience for our Pet Parents. Your work will directly impact millions of customers who care for their furry family members every day. This includes: 

  • Applying algorithms, data structures, and design patterns to produce efficient and performant code 
  • Collaborate with the team to define technical vision and architecture for key Discovery systems, ensuring scalability, performance, and maintainability. 
  • Collaborate with cross-functional teams to translate business objectives into robust, scalable engineering solutions. 
  • Mentor and guide engineers across multiple levels, fostering technical growth and high-quality delivery. 
  • Drive initiatives that improve developer productivity, system observability, and operational excellence. 

What You’ll Need: 

  • Bachelor’s degree in Computer Science, Engineering, or a related field.  
  • 8+ years of professional software engineering experience 
  • Proven success designing and delivering high-performance, distributed systems or large-scale backend services. 
  • Strong proficiency in one or more modern programming languages (e.g., Java, Kotlin, Python). 
  • Experience in system design, architecture patterns, and cloud-based deployment (AWS, GCP, or Azure). 
  • Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). 
  • Demonstrated ability to drive cross-team technical initiatives and influence architectural decisions. 
  • Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and data science teams. 

Preferred Qualifications: 

  • Experience in e-commerce or Search systems 
  • Experience with AWS or similar cloud platforms 
  • Experience with Scrum, or other agile methodologies 
  • Experience with configuration and deployment management and be hands on technology infrastructure, network, compute, storage, and virtualization experience 
  • Experience with Agentic AI, OpenSearch, LLMs, and Vector databases  

What You’ll Get: 

  • A place where you can be your authentic self and grow your career. Our pet parents and partners are from everywhere--different places and different walks of life. It is what makes them unique. Likewise, Chewtopians are encouraged to bring their perspectives to deliver on our mission! 
  • Work in a culture that cares, with managers who value you and your career journey. Be empowered to think big, thrive on delivering results, and to become your best. 
  • Development of meaningful connections with a diverse group of Chewtopians through Team Member Resource Groups and celebrate inclusivity with various company events, programs, and activities.  
  • Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources, enabling you to be your best self in and outside of work. 
The base salary range for this role is $136,500 - $225,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


What Chewy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Chewy logo

About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011