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

AI Engineer III HYBRID

Richardson, TX · On-site

$129K - $220K/yr

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 ...

AI Engineer (DFW Area)

Richardson, TX · On-site

$107K - $182K/yr

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 ...

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 ...

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 ...

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Proficiency in Python, LangChain/LlamaIndex, and vector databases (Pinecone, Weaviate, Chroma, pgvector, Snowflake). Expertise in prompt engineering including chain-of-thought, few-shot learning, and ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...

Agentic AI Engineer Lead

Dallas, TX · On-site

$101K - $133K/yr

Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF ...

Lead AI Engineer - AWS Platform

Dallas, TX · On-site +1

$130K - $190K/yr

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

Vector databases (Pinecone, OpenSearch, pgvector, FAISS) * Experience with AI orchestration frameworks such as: * LangChain * LlamaIndex * Semantic Kernel * CrewAI * Hands-on experience with: * AWS ...

Sr AI ML Engineer

Frisco, TX · On-site

$98K - $134K/yr

Experience with vector databases and ANN search systems (FAISS, Pinecone, etc.) * Expertise in ML lifecycle management (MLflow or equivalent) * Understanding of data governance, privacy, and security ...

... vector databases FAISS Pinecone Weaviate Azure AI Search Chrom aOptimize document ingestion chunking strategies metadata management and rerankin gEnsure accuracy relevance and performance of ...

Developing solutions using RAG (Retrieval-Augmented Generation) architecture patterns and vector databases (FAISS, Azure AI Services, Pinecone, etc.) * Proficiency with GitHub Copilot and Claude Code ...

Vector databases & search (Azure AI Search, Pinecone, Weaviate, OpenSearch, pgvector). * Data pipelines supporting AI (Spark, Databricks, Synapse, Snowflake, dbt, Airflow). * Strong understanding of ...

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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:
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.
AI Engineer III HYBRID

AI Engineer III HYBRID

RealPage, Inc.

Richardson, TX • On-site

$129K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

189th of 209 rated software companies


Job description

RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. Our Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities.

We are seeking an AI Engineer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will focus on designing, building, and scaling advanced AI applications in the PropTech space. You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams.

You will be responsible for taking AI concepts from ideation to production, owning end-to-end solutions that improve our products and transform user experiences.

In this role you would be expected to come to the HQ in Richardson, TX once a month. 


  1. Agentic AI & Generative Application Engineering
  • Evaluate and use LLMs and multimodal models from multiple providers (e.g., OpenAI, Google, Anthropic, etc.) for:
    • Conversational assistants, task-based copilots, and AI agents
    • Summarization, content generation, document understanding, generative analytics
    • Basic multimodal use cases (text + image, text + document, and soon video/audio)
  • Design and implement agentic workflows (e.g., tool-calling, multi-step reasoning, multi-agent orchestration) using:
    • LangChain, OpenAI Agents SDK, Google ADK or similar frameworks.
  1. Prompt Engineering & Guardrails
  • Design and optimize prompts and system instructions to:
    • Improve task completion, reliability, and latency
    • Minimize hallucinations and toxic/unsafe outputs
  • Implement structured outputs (JSON/JSON Schema)
  • Develop function/tool calling and prompts that help AI call them properly
  • Integrate safety/guardrail layers (e.g., content moderation APIs, Guardrails AI, Rebuff, custom policies) to keep conversations focused
  1. RAG & Knowledge Integration
  • Architect and implement RAG pipelines:
    • 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 knowledge retrieval process that draws from multiple sources and uses reranking to improve the response quality.
  • Explore emerging retrieval techniques (semantic caching, knowledge graphs, long-context models, memory systems).
  1. Full-Stack & System Integration
  • Build or integrate front-end experiences (React / Vue / Svelte / Web RTC) for AI agents and copilots.
  • Develop back-end services to orchestrate AI calls using REST, gRPC, WebSockets, or MCP; ensure scalability and observability.
  • Integrate with internal systems and PropTech data sources using secure APIs and data contracts.
  1. Evaluation, Monitoring & Optimization
  • Design and maintain evaluation pipelines and benchmarks for LLM-based features:
    • Offline metrics (accuracy, relevance, latency, cost)
    • Human-in-the-loop evaluations where needed
  • Use AI observability and tracing tools (e.g., LangSmith, OpenTelemetry, etc.) to monitor quality.
  • Optimize for performance, reliability, latency, and cost through:
    • Model selection and routing (e.g., small vs. large models, Google vs. OpenAI)
    • Prompt/token optimization and caching strategies. 
  1. Collaboration, Documentation & Delivery
  • Collaborate with cross-functional teams (Product, Design, Domain Experts, Data Science, Platform Engineering) to define requirements and success metrics.
  • Participate in architecture and design reviews; write clear technical documentation and runbooks.
  • Contribute to shared libraries, templates, and best practices for AI development.
  • Work in an Agile environment and own features from design through deployment and maintenance.

In this role you would be expected to come to the HQ in Richardson, TX once a month.  


  • 5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs.
  • Degree in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience.
  • Strong proficiency in:
    • Python for AI/ML, data pipelines, and back-end services
    • JavaScript/TypeScript for front-end and/or Node services
    • SQL and experience working with relational databases and basic data modeling
  • Working with coding assistants like Windsurf, Cursor, Codex, etc.
  • Proven experience building production-grade software:
    • Writing clean, testable, maintainable code
    • Using CI/CD pipelines, code reviews, and Git workflows
  • Hands-on experience with:
    • At least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)
    • LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)
    • Vector embeddings, vector databases, and RAG architectures
  • Experience with one or more major cloud platforms (GCP, Azure, and AWS) and:
    • Docker for containerization
    • Kubernetes or a managed container service (e.g., EKS, GKE, AKS)
  • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders.

Nice-to-Have Skills / Abilities

  • Experience with:
    • Voice-enabled AI agents (STT, TTS, WebRTC, Twilio Voice, Socket.IO, VAPI)
    • Multimodal models (e.g., GPT models including Realtime, Gemini Pro Vision, etc.)
    • Orchestrating multiple models (routing, ensembles, fallback strategies)
  • Familiarity with:
    • AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
    • Feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows
    • Browser automation software such as PlayWright
  • Background in:
    • AI security, privacy, and compliance (PII handling, SOC2, GDPR considerations)
    • A/B testing and online experimentation for AI features. #LI-JK1

In this role you would be expected to come to the HQ in Richardson, TX once a month.  

SALARY AND BENEFITS

  • RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus based on position. #LI-JK1 #LI-HYBRID

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.


USD $129,500.00 - USD $220,500.00 /Yr.

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