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Remote Pinecone Jobs (NOW HIRING)

Innowhyte Inc

Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.

Inficare Technologies

Lead AI Engineer

$104K - $138K/yr

Remote (Eastern region preferred) | Chicago, IL Job Type: Contract Duration: ~3 Months Experience ... Vector databases: Pinecone, Weaviate, ChromaDB * JavaScript / TypeScript for AI frontend ...

Apex Informatics

Senior Data Engineer - AI/ML

$117K - $140K/yr

Title: Sr Data Engineer Remote Required Skills & Qualifications • Strong experience in data ... LangChain, LangGraph, CrewAI, AutoGen, or similar • Familiarity with vector databases (Pinecone ...

CoreStory

AI Engineer

Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

Limited Legal Entity

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

... Pinecone) and working with dataframes for data processing and analysis (SQL-based agents) (20 ... Remote work requests will be considered consistent with company's remote work policy. Job ...

New

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

... Pinecone) and working with dataframes for data processing and analysis (SQL-based agents) (20 ... Remote work requests will be considered consistent with company's remote work policy. Job ...

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Remote Pinecone information

What is the difference between Remote Pinecone vs Remote Data Scientist?

AspectRemote PineconeRemote Data Scientist
Required CredentialsExperience with vector databases, cloud platforms, programming (Python, SQL)Statistics, machine learning, programming (Python, R)
Work EnvironmentRemote, tech-focused, collaborative teamsRemote, research and analysis-driven
Industry UsageAI, machine learning, data infrastructureAnalytics, AI, research, business intelligence
Search & Comparison IntentUnderstanding roles in data infrastructure and vector databasesComparing data science roles and skills

Remote Pinecone roles focus on managing vector databases and infrastructure, requiring technical skills in cloud platforms and programming. Remote Data Scientists analyze data, build models, and derive insights, often with a background in statistics and machine learning. While both roles are remote and tech-oriented, they serve different functions within data-driven organizations.

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What cities are hiring for Remote Pinecone jobs? Cities with the most Remote 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 Remote Pinecone jobs? States with the most job openings for Remote Pinecone jobs include:
What job categories do people searching Remote Pinecone jobs look for? The top searched job categories for Remote Pinecone jobs are:
Remote Pinecone jobs near you
Infographic showing various Remote Pinecone job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 1% Part Time, and 13% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution.

AI Engineer (Remote)

Innowhyte Inc

Remote

Full-time

Re-posted 9 days ago

Job description

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state-of-the-art technologies.
Key Responsibilities
Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.
Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). 
Develop Generative AI solutions, including chatbots, summarization, and content creation tools.
Preprocess, clean, and annotate datasets for training and evaluation.
Optimize models for performance using techniques like quantization and pruning.
Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Monitor and troubleshoot deployed models for accuracy and reliability.
Collaborate with cross-functional teams to align AI capabilities with business objectives.
Stay updated with advancements in AI/ML research and integrate best practices.
Requirements
Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).
Strong understanding of transformer architectures and generative models like GPT or BERT.
Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).
Familiarity with cloud-based AI platforms and containerization tools.
Excellent problem-solving, analytical, and communication skills.
Employment Type: FULL_TIME

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