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Pinecone Vector Databases Jobs in Addison, TX (NOW HIRING)

BI Solutions Inc

Senior Agentic AI Developer

Coppell, TX · On-site

$50.75 - $67/hr

Experience with RAG architectures, embeddings, vector databases (Pinecone, Weaviate, Chroma, pgVector), prompt engineering, and AI orchestration. * Hands-on experience with AI development tools such ...

Photon

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Cliff Services Inc

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Experience with relational SQL databases and vector databases (e.g., Pinecone, Chroma). * Industry Domain: Understanding of financial security practices and data handling is highly preferred.

New

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Photon

Python developer - Dallas, Tx

Dallas, TX

$49.75 - $68.50/hr

Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus. * Strong proficiency in PostgreSQL, MySQL, MongoDB, Redis, and database optimization techniques . * Experience with ...

Photon

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus. * Strong proficiency in PostgreSQL, MySQL, MongoDB, Redis, and database optimization techniques . * Experience with ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus. * Proficiency in relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis). * Experience with cloud ...

Photon

Python Developer Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus. * Proficiency in relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis). * Experience with cloud ...

BI Solutions Inc

WatsonX Assistant

Coppell, TX · On-site

... vector databases (PGVector, Vertex Matching Engine, Pinecone), Familiarity with Kafka or Pub/Sub eventing patterns. Observability stacks: OpenTelemetry, PrometheGrafana, Elk/Cloud Logging ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

... vector databases (e.g., Pinecone, Weaviate) for efficient storage and retrieval of high-dimensional vector embeddings to support RAG and semantic search functionalities. • Collaborate with AI ...

Ideate Technologies LLC

AI Engineer

Plano, TX · On-site

Experience with vector databases such as Pinecone, FAISS, or ChromaDB . * Experience with cloud platforms, preferably AWS . * Familiarity with Docker, Kubernetes, and CI/CD pipelines. * Strong ...

New

Marencor

Data Scientist with Python

Dallas, TX · On-site

... vector databases such as MongoDB Atlas or Pinecone * Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup * 1+ years of ...

Photon

Senior Java Developer - AI/ML

Dallas, TX · On-site

$119K - $155K/yr

Cassandra Vector Databases * Pinecone * ChromaDB * Weaviate * Milvus * PGVector Cloud & DevOps Develop and deploy applications using: Cloud Platforms * AWS * Azure * Google Cloud Platform Services

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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 Addison, TX look for? The top searched job categories for Pinecone Vector Databases jobs in Addison, TX are:
What cities near Addison, TX are hiring for Pinecone Vector Databases jobs? Cities near Addison, TX with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in Addison, TX as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Senior Agentic AI Developer

BI Solutions Inc

Coppell, TX • On-site

$50.75 - $67/hr

Other

Posted 13 days ago

Job description

Seeking a Senior Software Developer with deep expertise and hands-on experience building AI‑driven and agentic automation solutions. The ideal candidate has experience with LangGraph, IBM Watsonx Orchestrate, and Google Vertex AI, and can design scalable services that incorporate advanced reasoning, workflow orchestration, and multi-agent systems.

Required Skills
  • Strong hands-on experience building Agentic AI applications and AI-powered workflows.
  • Experience with LLMs and AI application development.
  • Expertise in LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks.
  • Experience with RAG architectures, embeddings, vector databases (Pinecone, Weaviate, Chroma, pgVector), prompt engineering, and AI orchestration.
  • Hands-on experience with AI development tools such as Claude Code, Cursor, GitHub Copilot, or similar.
  • Strong Full Stack development experience with:
    • Java, Spring Boot, Spring Security, Microservices

Required Qualifications:
Bachelor''''s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field.
Experience with Java.
Strong experience in AI/ML. 
Chatbot development experience is a Big Plus.

Apply