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Pinecone Vector Databases Jobs (NOW HIRING)

CYNET SYSTEMS

Python Backend Developer

San Jose, CA · On-site

$60 - $65/hr

Experience with vector databases such as Pinecone or Weaviate. * Familiarity with AI workflow frameworks such as LangChain or Llama Index. * Experience with Docker and cloud platforms such as AWS or ...

Trident Consulting

AI/ML Engineer

Franklin, TN · On-site

... vector databases (Pinecone, Weaviate, pgvector) and graph databases (Neo4j). • Build and maintain ETL/ELT pipelines using AWS Glue or Apache Spark for data processing. • Ensure performance ...

ICONMA

AI/ML Engineer

Franklin, TN · On-site

... vector databases (Pinecone, Weaviate, pgvector) and graph databases (Neo4j). • Build and maintain ETL/ELT pipelines using AWS Glue or Apache Spark for data processing. • Ensure performance ...

Compunnel

Senior AI Engineer

Coppell, TX · On-site

$96K - $132K/yr

... vector databases such as PGVector, Vertex Matching Engine, and Pinecone. • Familiarity with Kafka or Pub/Sub eventing patterns. • Implement and maintain observability stacks: OpenTelemetry ...

Arohak Inc

Gen AI Engineer

Raritan, NJ

... vector databases (Pinecone, Weaviate, ChromaDB) Experience with embeddings and semantic search Knowledge of transformer architecture and attention mechanisms REST API development and integration Git ...

Atika Tech

Gen AI Developer / Sr.

Irving, TX

$116K - $157K/yr

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Manage and optimize vector databases (e.g., Pinecone, Weaviate, Milvus) * Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance ...

smart folks inc

IAM FullStack developer

Austin, TX · On-site

Experience with vector databases (FAISS/Milvus/Pinecone/pgvector) and document processing (PDF/HTML/markdown, chunking strategies). * Solid understanding of API security (OAuth2/OIDC/JWT), networking ...

Prophecy Technologies

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS) for RAG-enabled systems * Exposure to AI orchestration frameworks such as LangChain or Semantic Kernel * Strong understanding of data ...

Newt Global

AI/ML Engineer

Irving, TX

Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS. * Knowledge of LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks. * Experience with cloud ...

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Pinecone Vector Databases information

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 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 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.

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Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 69% Physical, 5% Hybrid, and 26% Remote job distribution.

Agentic AI Engineer / Developer (Payments Domain)

Source Code Technologies LLC

Charlotte, NC • On-site

Other

Posted yesterday

Job description

Minimum 9+ Years experience required / Must be fine for In-Person Interview

Position: Agentic AI Engineer / Developer (Payments Domain)

Location: Charlotte, NC (Onsite In-Person Interview Required)

Must-Have Skills:
Agentic AI Development & Multi-Agent Systems
Python & Java Development
LLM Frameworks (LangChain, AutoGen, Semantic Kernel, etc.)
AI Agent Orchestration, Tool Calling & Memory Management
Retrieval-Augmented Generation (RAG)
Vector Databases (Pinecone, FAISS, etc.)
Payment Investigations & Payment Processing Domain
Workflow Engines (Pega Smart Investigate, Appian, IBM BAW, Finastra, Temenos, FIS, etc.)
REST APIs & Enterprise System Integration
Agile Development Methodologies
Production AI Monitoring, Evaluation & Guardrails

Preferred Skills:
Pega Smart Investigate Experience
Pega LSA Certification
Wires, ACH, or Payments Processing Experience
Spring Boot
CI/CD Pipelines
Test Automation & Performance Benchmarking
RDBMS / NoSQL Databases

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