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Pinecone Jobs (NOW HIRING)

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

LlamaIndex or LangChain, Pinecone, Azure OpenAI · Strong API integration: REST, OAuth · MCP / tool-layer design for LLM agents; FASTMCP a strong plus · Financial services platforms (DealCloud ...

... Pinecone • FAISS • MLOps Systems • MLflow • model registry • CICD pipelines • Experiment tracking and automated testing • Deployment patterns • batch real-time inference • Data APIs ...

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Vector Databases: pgvector / Pinecone / Weaviate / OpenSearch * FastAPI / Flask / Django * Async Python * Parallel LLM & API Orchestration * SQL & Large Analytical Datasets * Azure / AWS / GCP

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms. * Technical Leadership: Mentor junior ...

Be Seen First

Design and optimize the storage of embeddings in Vector Databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic reasoning ...

Expertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking strategies * Hands-on experience with Kubernetes, Docker, and scalable API deployment * Ability to ...

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... Pinecone Milvus or Pgvector. • Statistical Analysis Strong proficiency in statistical techniques and methodologies including hypothesis testing regression analysis time series analysis and ...

Strong hands-on experience with: o Python o Cloud ML platforms-Azure o Vector DBs (Pinecone, DB Vector) o LangChain / LlamaIndex or similar orchestration frameworks o Fine tuning & embeddings

Manage and optimize vector databases (Pinecone, Weaviate, Milvus, pgvector), including building efficient indexing strategies (HNSW, DiskANN). Develop advanced chunking and parsing techniques to ...

Strong hands-on experience with: o Python o Cloud ML platforms-Azure o Vector DBs (Pinecone, DB Vector) o LangChain / LlamaIndex or similar orchestration frameworks o Fine tuning & embeddings

Design semantic search solutions using vector databases such as Pinecone, Weaviate, Chroma, or FAISS. * Develop REST APIs and backend services to expose AI capabilities. * Collaborate with data ...

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... Pinecone Milvus or Pgvector. • Statistical Analysis Strong proficiency in statistical techniques and methodologies including hypothesis testing regression analysis time series analysis and ...

Showing results 21-40

Pinecone information

What is a Pinecone?

A Pinecone job typically refers to working with Pinecone, a vector database designed for machine learning and AI applications. Roles can range from engineering positions that focus on optimizing search and retrieval to data science roles that work with embeddings. Pinecone jobs often require knowledge of machine learning, data indexing, and scalable infrastructure.

What are the typical responsibilities and challenges for an engineer working with Pinecone vector databases?

Engineers working with Pinecone typically focus on building, maintaining, and scaling vector search solutions that power features like semantic search and recommendations. Daily tasks often include integrating Pinecone with other data systems, optimizing indexing and query performance, and ensuring high availability. Common challenges involve efficiently handling large-scale data, managing latency requirements, and troubleshooting distributed system issues. Collaboration with data scientists and backend engineers is frequent to ensure seamless model integration and real-time data flows.

What are the key skills and qualifications needed to thrive as a Pinecone engineer, and why are they important?

To thrive as a Pinecone Engineer, you need a solid background in computer science, experience with vector databases, and proficiency in programming languages such as Python or Java. Familiarity with Pinecone's vector database platform, cloud infrastructure (like AWS, GCP, or Azure), and API integration is typically required. Strong problem-solving skills, collaboration, and effective communication set standout engineers apart in this role. These competencies are crucial for building scalable, high-performance search applications and ensuring seamless integration with organizational data systems.

What is the difference between Pinecone vs Data Scientist?

AspectPineconeData Scientist
Required CredentialsTechnical skills in databases, APIs, and cloud platformsDegree in Computer Science, Statistics, or related fields; often includes certifications
Work EnvironmentTech companies, startups, cloud service providersResearch labs, corporate teams, consulting firms
Industry UsageData management, vector similarity search, AI applicationsData analysis, predictive modeling, machine learning
Common Search/ComparisonYesYes

While Pinecone specializes in vector database management and similarity search technology, Data Scientists focus on analyzing data, building models, and deriving insights. Both roles often collaborate in AI projects, but their core skills and tools differ significantly.

More about Pinecone jobs

What cities are hiring for Pinecone jobs?

Cities with the most Pinecone job openings:

What are the most commonly searched types of Pinecone jobs?

The most popular types of Pinecone jobs are:

What states have the most Pinecone jobs?

States with the most job openings for Pinecone jobs include:

Infographic showing various Pinecone job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 71% Physical, 8% Hybrid, and 21% Remote job distribution.

GenAI Architect - Miami, FL (Hybrid)

NeoTech Solutions

Miami, FL • On-site

Other

Posted 25 days ago


Job description

Role: GenAI Architect
Location: Miami, FL (Hybrid)
Full Time

Role Summary:

  • Owns end to end client delivery for the project team
  • Owns end-to-end technical direction and client alignment for the agentic AI platform.
  • Primary technical interface with the client, translating business requirements into architecture spanning RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, DealCloud, Backstop CRM, Snowflake, and Graph DB.
  • Project Prioritization and SPOC for Persistent for any queries
  • Stakeholder mgmt
  • Risk mgmt
  • Participate in status report and governance meet.

Responsibilities:

  • Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration
  • Define integration strategy leveraging existing client APIs, minimising custom build
  • Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB
  • Own RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranking
  • Collaborate with client stakeholders (business + IT) to validate use cases
  • Guide the offshore team (AI/ML engineers, data engineers)

Technology and Skills:

  • 12+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design
  • Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
  • Strong API integration: REST, OAuth
  • MCP / tool-layer design for LLM agents; FASTMCP a strong plus
  • Financial services platforms (DealCloud, Backstop, or similar) advantageous