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Remote Pinecone Jobs (NOW HIRING)

Frontier Technology Inc.

Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval ... Remote

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Knowledge of vector databases (Pinecone, FAISS, Weaviate, ChromaDB) * Experience with REST APIs and ...

Morningstar

Senior Software Engineer

$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 ...

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 ...

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 ...

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 ...

Answer Financial Inc.

AI Engineer-Remote Opportunity

$120K - $199K/yr

The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining ... Knowledge of vector databases (Pinecone, FAISS) and RAG architectures. * Familiarity with Azure ...

Orb

Software Engineer, Infrastructure - Remote (USA)

$170K - $240K/yr

We work with companies like Vercel, Pinecone, Perplexity, and Replit to help them price smarter ... For remote roles, we ask you to join us in person 1x per quarter. Our values, customer centricity ...

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.

Futran Tech Solutions Pvt. Ltd.

Data Scientist

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional ... Familiarity with vector databases like Elasticsearch, Pinecone, etc. * Strong programming skills (e ...

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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.

More about Remote Pinecone jobs
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 June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Posted 15 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.

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