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

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

Experience with vector databases (Pinecone, FAISS, Weaviate) * Exposure to MLOps practices and model lifecycle management * Experience with AI governance, security, or compliance frameworks * Prior ...

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

$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 ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

Utilize 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 ...

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 ...

JLL

Lead AI Engineer

Dallas, TX · On-site

$101K - $133K/yr

Vector databases (Pinecone, Weaviate, ChromaDB) * Git, Docker, Kubernetes * JavaScript/TypeScript for AI integration * Postman for API testing * SQL/NoSQL databases for AI data management * Sound ...

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 ...

Jones Lang LaSalle IP, Inc.

Lead AI Engineer

Dallas, TX · On-site

$101K - $133K/yr

Vector databases (Pinecone, Weaviate, ChromaDB) * Git, Docker, Kubernetes * JavaScript/TypeScript for AI integration * Postman for API testing * SQL/NoSQL databases for AI data management * Sound ...

Photon

Backend Lead - Python - Dallas, TX

Dallas, TX · On-site

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX · On-site

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.) * Implement ...

RealPage, Inc.

AI Engineer III HYBRID

Richardson, TX · On-site

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.) * Implement ...

RealPage, Inc.

AI Engineer III HYBRID

Richardson, TX · On-site

Choose and configure vector databases (e.g., PGVector, Vertex AI Search, Pinecone, etc.) * Build ingestion pipelines for internal data (documents, tickets, logs, property data, etc.) * Implement ...

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All JobsPinecone Vector Databases JobsPinecone Vector Databases Jobs in Addison, TX

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 July 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 71% In-person, and 29% Remote job distribution.
Sr Data Scientist - Gen AI ML - Citi - Irving

Sr Data Scientist - Gen AI ML - Citi - Irving

Photon

Irving, TX

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Core Skill Set:

  • Python (advanced, production-grade coding)
  • Generative AI (LLMs, prompt engineering, fine-tuning, RAG)
  • Agent development using frameworks such as ADK, LangGraph, LangChain

Additional Relevant Skills:

  • Experience building end-to-end AI applications (design deploy scale)
  • Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS)
  • API development and integration (FastAPI, REST, microservices)
  • Cloud platforms: AWS / Azure / GCP (especially AI/ML services)
  • Model evaluation, guardrails, and Responsible AI practices
  • Experimentation frameworks, prompt/version management, and observability
  • Working knowledge of data pipelines and engineering (ETL, streaming)
  • Familiarity with MLOps / LLMOps (CI/CD for models, monitoring, retraining)
  • Strong problem-solving with ability to translate business use cases into AI solutions

Compensation, Benefits and Duration

Minimum Compensation: USD 53,000
Maximum Compensation: USD 188,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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