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Remote Pinecone Jobs (NOW HIRING)

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 ...

... Pinecone). * Understanding of data security, privacy, and disaster recovery. * Strong communication and cross-functional collaboration skills. WORKING CONDITIONS: This is a primarily remote position ...

Work independently in a remote environment with a strong sense of ownership and ability to ship ... Familiarity with vector databases (Pinecone, Weaviate, pgvector, etc.) and semantic search patterns

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 ...

... Pinecone). * Understanding of data security, privacy, and disaster recovery. * Strong communication and cross-functional collaboration skills. WORKING CONDITIONS: This is a primarily remote position ...

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... Hands-on experience with vector databases -- Pinecone, Milvus, Weaviate, or equivalent * MLOps ...

Al/ML Engineer (SME)

$104K - $166K/yr

This position is remote and requires an active Secret clearance. * AI/ML Engineer. Responsible for ... PyTorch/TensorFlow/Keras, Hugging Face transformers, LangChain, RAG toolkits, FAISS/Pinecone ...

Solutions Architect

$64.50 - $85/hr

... Pinecone, Glean, and dbt to deliver cutting-edge services and solutions.We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) * Exposure to AIOps or AI-driven ...

Vector databases (e.g., Pinecone, Weaviate, Qdrant) * Graph databases (e.g., Neo4j, TigerGraph ... Flexible, remote-friendly work culture with a strong engineering foundation If you're passionate ...

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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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Infographic showing various Remote Pinecone job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution.

AWS AI/Data Engineer (Hybrid - Alternative weeks)

Reliable Software Resources

Detroit, MI • On-site, Remote

$104K - $125K/yr

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This job post has expired today. Applications are no longer accepted.


Job description

Position#1
Job Title: Senior AWS AI / Data Engineer
Location: Detroit, MI 
Hire Type: Long-term contract
 
Experience: 7+ years  |  Detroit, MI (mandatory) — Remote up to 50% travel | 
 
Agentic AI
LLMs
Python
AWS Native
Data Pipelines
Structured + Unstructured Data
 
ABOUT THE ROLE
As a Senior AWS AI/Data Engineer at DataFactZ you will architect and deliver enterprise-grade AI and data pipeline solutions for large-scale client engagements. You will lead the design of agentic AI systems, LLM-powered applications, and high-throughput data pipelines on AWS — translating complex business problems into production-ready solutions while mentoring junior engineers.
 
KEY RESPONSIBILITIES
•      Design and build end-to-end data pipelines for ingesting, transforming, and serving structured (SQL, Redshift, Parquet) and unstructured (PDFs, emails, documents, images) data on AWS
•      Architect agentic AI systems using LLMs with tool use, memory, and multi-step reasoning via Amazon Bedrock, OpenAI, or Anthropic Claude
•      Build multi-agent orchestration workflows using LangChain, LlamaIndex, CrewAI, or AutoGen for enterprise automation
•      Design RAG pipelines connecting structured and unstructured data sources to LLMs via vector databases (Pinecone, OpenSearch, pgvector)
•      Lead AWS data architecture across S3, Glue, Lambda, EMR, Athena, Step Functions, and Redshift
•      Develop prompt engineering strategies and fine-tuning approaches for domain-specific LLM customization
•      Mentor junior engineers, lead code reviews, and drive engineering best practices
•      Engage client stakeholders to scope AI/data use cases, define success metrics, and deliver on commitments
 
REQUIRED SKILLS
•      Python: Advanced proficiency for data engineering, pipeline orchestration, and AI integrations
•      AWS services: Deep hands-on experience with S3, Glue, Lambda, EMR, Athena, Step Functions, Redshift, and Bedrock
•      LLMs & Agentic AI: Production experience building LLM-powered agents, tool-calling workflows, and multi-agent systems
•      Data pipelines: Batch and real-time ETL/ELT for large-scale structured and unstructured datasets
•      RAG & vector search: Building retrieval-augmented generation systems with embedding pipelines and semantic search
•      System design: Architecting scalable, secure, cost-efficient cloud-native data and AI systems
•      Leadership: Proven ability to lead technical workstreams and communicate designs to senior stakeholders
 
PREFERRED
•      AWS certifications: Solutions Architect, Data Analytics, or Machine Learning Specialty
•      Document intelligence: AWS Textract or custom document parsing pipelines
•      Multi-modal AI: Experience with vision or document-aware models