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Full Time Pinecone Jobs (NOW HIRING)

Photon

Gen AI Engineer - NY

Manhattan, NY · On-site

Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS) * API ... full time employees. This position is not available for independent contractors No applications ...

Select Minds LLC

AI Testing Architect

Dallas, TX · On-site

$120K - $135K/yr

AI Testing Architect (GenAI / QA Automation) Work Type: Full-Time/Contract Location: Dallas, Texas ... Experience with vector databases (Pinecone, FAISS, Weaviate) * Exposure to MLOps practices and ...

Acquisition.com LLC

Senior AI Engineer

$170K - $200K/yr

Own and improve RAG pipelines across multiple Pinecone namespaces, including chunking strategy ... Availability to support critical launches or events when needed Location * Full-time, remote (US ...

Photon

AI Engineer - NY

Manhattan, NY · On-site

Familiarity with vector databases (Pinecone, Weaviate, FAISS, etc.). * Experience with ADK (Agent ... full time employees. This position is not available for independent contractors No applications ...

Qode

Fort Mill, SC Experience: 10+ Years Duration- Full-Time Position Overview We are seeking an ... Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, or Azure AI Search.

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph ... Pinecone, Weaviate, Milvus, pgvector). * Create robust data ingestion/ETL from PDFs, docs, webpages ...

DEEPREC.AI

AI Data Lead

$180K - $220K/yr

AI Data Lead $180,000 - $200,000 | New York (Remote) | Full-Time Deeprec.ai is proud to announce ... Qdrant, Pinecone, Weaviate, pgvector), including tuning for performance and recall * Experience ...

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Exton, PA Onsite Employment Type: Full-Time We are seeking a hands-on AI Lead Developer to ... Experience with vector databases such as Pinecone, Weaviate, FAISS,Chroma, or Azure AI Search.

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Exton, PA Onsite Employment Type: Full-Time We are seeking a hands-on AI Lead Developer to ... Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Azure AI Search.

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How much do full time pinecone jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for full time pinecone in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.
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Full Time Pinecone jobs near you
Infographic showing various Full Time Pinecone job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Colorado Springs, CO • Remote

$144K - $246K/yr

Full-time

Posted 10 days ago

Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range for candidates is $144k-$246k. *Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience. FTI has a location-based compensation structure; there may be a different range for candidates in other locations.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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