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Pinecone Vector Databases Jobs in Suwanee, GA (NOW HIRING)

AI Engineer

Atlanta, GA · On-site

$140 - $210/hr

Proficient in ML frameworks (PyTorch), optimization techniques (quantization, model distillation), and vector databases (pgvector, Weaviate, Pinecone). * Experienced with LLM inference stacks ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Vector Databases: Familiarity with vector stores (Pinecone, Weaviate, ChromaDB, FAISS, etc.) for embeddings and retrieval * Software Development: Understanding of Git workflows, version control with ...

Are proficient in a variety of structured, unstructured, vector databases such as Postgres SQL, MongoDB, PG Vector, Pinecone, etc as well as cloud database products such as Neon and Supabase. * Are ...

Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or pgvector. * Experience with prompt engineering, embeddings, evaluation, and AI model orchestration

Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or pgvector. * Experience with prompt engineering, embeddings, evaluation, and AI model orchestration

Senior AI Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or similar) * Experience building custom LLM and agent evals, including automated testing of model ...

Senior AI Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or similar) * Experience building custom LLM and agent evals, including automated testing of model ...

Senior AI Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or similar) * Experience building custom LLM and agent evals, including automated testing of model ...

Showing results 21-35

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 are popular job titles related to Pinecone Vector Databases jobs in Suwanee, GA?

For Pinecone Vector Databases jobs in Suwanee, GA, the most frequently searched job titles are:

What job categories do people searching Pinecone Vector Databases jobs in Suwanee, GA look for?

The top searched job categories for Pinecone Vector Databases jobs in Suwanee, GA are:

What cities near Suwanee, GA are hiring for Pinecone Vector Databases jobs?

Cities near Suwanee, GA with the most Pinecone Vector Databases job openings:

Forward Deployed Agent Builder (Hybrid - Atlanta, GA)

Prog Leasing LLC

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Key responsibilities

  • Partner with business and product teams to frame complex problems and translate requirements into agent workflows, tools, and data architectures

  • Design and build agent workflows using LangChain and LangGraph, including multi-agent architectures such as ReAct and supervisor models

  • Architect and implement end-to-end RAG pipelines using Copilot, integrating with vector databases including Pinecone, Qdrant, Weaviate, and pgvector


Job description

Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a FinTech holding company with more than 20 years of experience, we're focused on building simple, responsible financial solutions that put people first. PROG Holdings' portfolio includes Progressive Leasing, a market leader in leasetoown solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform - all united by a commitment to innovation, access, and meaningful impact.

We are currently hiring a Forward Deployed Agent Builder to work directly with our business and product teams to design, build, and deploy AI agents that solve real-world workflows. This role sits at the intersection of agent engineering, product thinking, and stakeholder communication - translating complex business problems into intelligent, scalable AI solutions. You will play a critical role in accelerating our AI-first strategy by delivering agents that create immediate and measurable impact across the organization.

Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

This is a hybrid role that requires inoffice presence in Atlanta, Georgia.

WE ARE:

An AI-first FinTech organization on a mission to make everyday purchases accessible through innovative lease-to-own solutions. We move fast, think big, and build with purpose. Our teams are empowered to experiment and deploy intelligent systems that create real value - from customer-facing products to internal operations. We believe the future of work is agentic, and we are actively building it.

YOU ARE:

A builder who thrives at the intersection of business and technology. You are equally comfortable whiteboarding a workflow with a product manager and writing production-grade agent code. You have deep hands-on experience with agent frameworks and multi-agent architectures, and you know how to design AI experiences that people actually want to use. You communicate clearly, move quickly, and care about outcomes over outputs.

YOUR DAY-TO-DAY:

  • Partner with business and product teams to frame complex problems and translate requirements into agent workflows, tools, and data architectures

  • Design and build agent workflows using LangChain and LangGraph, including multi-agent architectures such as ReAct and supervisor models

  • Architect and implement end-to-end RAG pipelines using Copilot, integrating with vector databases including Pinecone, Qdrant, Weaviate, and pgvector

  • Build and optimize short-term and long-term memory systems, managing context handling and continuity across agent interactions

  • Integrate agents into enterprise systems via APIs, MCP, and platform connectors

  • Develop business application agents using Copilot Studio, Power Automate, and Power Apps, with integrations into Microsoft Graph, Teams, and SharePoint

  • Design intuitive, usable AI experiences with a strong product and UX mindset

  • Optimize agent performance for latency, cost, and accuracy; apply observability and evaluation tools to measure and improve outcomes

  • Communicate solutions clearly to both technical and non-technical stakeholders

YOU'LL BRING:

  • Hands-on experience with agent frameworks, including LangChain and LangGraph

  • Proficiency designing and implementing multi-agent systems and architectures

  • Experience building RAG pipelines and working with vector databases

  • Strong API integration skills and familiarity with enterprise systems

  • Comfort with observability and evaluation tooling for AI systems

  • Excellent communication skills and a product design sensibility

  • Experience with Copilot Studio and the Microsoft Power Platform (preferred)

  • Familiarity with MCP and Skills-based agent architectures (preferred)

  • Experience with AI-assisted coding tools such as Cursor or Claude (preferred)

  • Forward-deployed or solution engineering background (preferred)

  • AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve

WE OFFER:

  • Competitive Compensation

  • Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave

  • Company Matched 401k

  • Paid Time Off + Paid Holidays + Paid Volunteer Time

  • Diversity Alliance Resource Groups

  • Employee Stock Purchase Program

  • Tuition Reimbursement

  • Charitable Gift Matching

  • Job Required Equipment & Services Will Be Provided

Purchasing Power welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Purchasing Power does business.