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Hourly Pinecone Jobs (NOW HIRING)

Judge Group, Inc.

Software Engineer

Charlotte, NC · On-site

$69 - $74/hr

Charlotte, NC Salary: $69.00 USD Hourly - $74.00 USD Hourly Description: Senior AI Developer ... Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS. * Experience with ...

Spatium Lab LLC

AI Engineer Intern

Bellevue, WA · On-site

$82.66 - $165.31/hr

Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector) * Familiarity with AWS or GCP ... Competitive hourly compensation * Flexible schedule (full-time summer or part-time year-round)

Kforce Technology Staffing

Lead AI Engineer

Charlotte, NC · On-site

$100K - $131K/yr

FAISS, Pinecone, Weaviate, Qdrant * LLMOps/MLOps (Good to Have): MLflow, Weights & Biases, BentoML ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Familiarity with vector databases (Pinecone, ChromaDB, Weaviate) or embedding models for semantic ...

ChenMed, LLC

Senior AI Software Engineer

Miami, FL · On-site

$108K - $154K/yr

... Pinecone, Chroma, or pgvector, including embedding generation, document chunking strategies, and ... represents the base hourly rate or base annual full-time salary for this position. Final ...

Steris Corporation

HR Generalist

Mentor, OH · On-site

This role supports 170 hourly and salaried employees across 4 manufacturing operations in Mentor ... This position is located at one of our STERIS facilities (9325 Pinecone Drive, Mentor, OH) and is ...

ChenMed, LLC

AI Software Engineer

Miami, FL · On-site

$91K - $130K/yr

... Pinecone, Chroma, or pgvector, including embedding generation, document chunking strategies, and ... represents the base hourly rate or base annual full-time salary for this position. Final ...

Eliassen Group

Senior AI Engineer

Charlotte, NC · On-site

$55 - $60/hr

... FAISS, Pinecone, Weaviate, Qdrant, MLflow, Weights & Biases, BentoML, Airflow. Recruitment ... The pay range provided in this posting reflects a W2 hourly rate; other employment options may be ...

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How much do hourly pinecone jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for hourly pinecone in the United States is $26.82, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Hourly Pinecone vs Data Analyst?

AspectHourly PineconeData Analyst
Required CredentialsBasic technical skills, possibly some certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like Microsoft Excel or SQL
Work EnvironmentFreelance or contract-based, often remote or on-siteFull-time or part-time in corporate or consulting settings
Industry UsageUsed across various industries for data management tasksPrimarily in finance, marketing, healthcare, and tech sectors

Hourly Pinecone typically involves short-term, flexible data-related tasks, while Data Analysts focus on analyzing data to inform business decisions. Both roles require technical skills, but Data Analysts usually need more formal education and industry-specific experience.

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Hourly Pinecone jobs near you
Infographic showing various Hourly Pinecone job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 49% Full Time, 45% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $55,788 per year, or $26.8 per hour.

Software Engineer

Judge Group, Inc.

Charlotte, NC • On-site

$69 - $74/hr

Other

Re-posted 22 days ago

Job description

Location: Charlotte, NC Salary: $69.00 USD Hourly - $74.00 USD Hourly Description:
Senior AI Developer, Generative AI (Full Stack)
We are not accepting C2C or 1099 arrangements.
Location: Charlotte, NC (Hybrid: 3 days onsite, 2 days remote)
Schedule: Monday-Friday, 8:00 AM - 5:00 PM
Top Requirements
  • Python
  • LangChain
  • LangGraph
About the Role
We are seeking a Senior AI Developer to architect, build, and deploy enterprise-scale Generative AI solutions. This role will focus on designing agentic workflows, Retrieval-Augmented Generation (RAG) platforms, and AI-powered applications using LangChain, LangGraph, and Google Vertex AI.
The ideal candidate combines strong software engineering fundamentals with deep expertise in GenAI technologies and cloud-native application development. You will partner with product managers, data scientists, platform engineers, and security teams to deliver scalable, secure, and production-ready AI solutions that drive measurable business value.
Responsibilities
Design and Develop AI Solutions
  • Design and implement end-to-end Generative AI applications using Python, LangChain, and LangGraph.
  • Build agentic workflows, state-based orchestration systems, and tool integrations that support complex business use cases.
  • Develop scalable RAG solutions, including ingestion pipelines, embedding generation, vector indexing, and retrieval optimization.
  • Create reusable AI frameworks, components, and services to accelerate development across teams.
Build Cloud-Native AI Platforms
  • Deploy and manage AI services using Google Cloud Platform (Google Cloud Platform) and Vertex AI.
  • Develop RESTful APIs and backend services using FastAPI and microservices architecture.
  • Containerize applications using Docker and deploy to Kubernetes/GKE environments.
  • Implement CI/CD pipelines to support automated testing, deployment, and monitoring.
Improve AI Quality, Performance, and Reliability
  • Evaluate model performance using industry-standard metrics and GenAI evaluation frameworks.
  • Optimize model responses, retrieval effectiveness, latency, and operational costs.
  • Implement monitoring, tracing, logging, and observability solutions to ensure production reliability.
  • Establish best practices for prompt engineering, model lifecycle management, and AI governance.
Security and Compliance
  • Implement AI security controls, including PII protection, prompt injection mitigation, and access controls.
  • Ensure compliance with enterprise governance, auditing, and data management requirements.
  • Develop secure and responsible AI solutions aligned with organizational standards.
Collaboration and Leadership
  • Partner with product, engineering, security, and data teams to define technical solutions and delivery roadmaps.
  • Mentor junior engineers and promote engineering best practices.
  • Lead technical design discussions and contribute to architecture decisions.
Required Qualifications
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
  • 7+ years of software engineering experience developing enterprise applications.
  • 5+ years of professional experience developing applications in Python.
  • 3+ years of experience building and deploying machine learning or Generative AI solutions in production environments.
  • Hands-on experience with LangChain and LangGraph for agent and workflow orchestration.
  • Experience building RAG pipelines, including embeddings, vector databases, retrieval strategies, and evaluation frameworks.
  • Experience developing APIs and microservices using FastAPI or similar Python frameworks.
  • Experience with cloud platforms, preferably Google Cloud Platform and Vertex AI.
  • Experience with Docker, Kubernetes, and CI/CD automation.
  • Strong understanding of software architecture, distributed systems, and API design.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience with Vertex AI services, including Model Garden, Endpoints, Pipelines, and Vector Search.
  • Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Experience with React, Next.js, or modern front-end frameworks.
  • Experience with GenAI evaluation tools such as RAGAS, G-Eval, LangSmith, or OpenTelemetry.
  • Knowledge of AI security, governance, model monitoring, and responsible AI practices.
  • Experience with LlamaIndex, Graph RAG, Knowledge Graphs, or advanced retrieval architectures.
  • Experience integrating LLMs with enterprise data platforms, SaaS applications, or structured databases.
Technical Skills
Required
  • Python (5+ years)
  • LangChain
  • LangGraph (1-2+ years)
  • FastAPI
  • Google Vertex AI
  • RAG Architecture
  • Vector Databases
  • Docker
  • Kubernetes
  • CI/CD

Preferred
  • React / Next.js
  • Node.js
  • Pinecone
  • Weaviate
  • Milvus
  • LlamaIndex
  • OpenTelemetry
  • LangSmith
  • Google Cloud Platform Services
Compensation Details
  • Location: Charlotte, NC
  • Work Arrangement: Hybrid (3 onsite / 2 remote)

This position is ideal for a hands-on AI engineering leader who thrives in building production-grade GenAI applications and driving enterprise AI adoption through scalable, secure, and high-impact solutions.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
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This job and many more are available through The Judge Group. Please apply with us today!

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