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Director Pinecone Jobs (NOW HIRING)

... Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar) REST APIs Docker Kubernetes Git ... Direct) E: W: | | I nnovation C ustomer focus O penness R espect E nterprising

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Pinecone, Weaviate, or FAISS * Multi-agent framework and planning systems exposure * Fine-tuning ... Build real-world AI systems with direct clinical and business impact * Join a fast-growing, product ...

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Pinecone, Weaviate, or FAISS * Multi-agent framework and planning systems exposure * Fine-tuning ... Build real-world AI systems with direct clinical and business impact * Join a fast-growing, product ...

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Pinecone, Weaviate, or FAISS * Multi-agent framework and planning systems exposure * Fine-tuning ... Build real-world AI systems with direct clinical and business impact * Join a fast-growing, product ...

Senior AI Engineer

Manhattan, NY · On-site

$200 - $250/hr

... Pinecone, Weaviate, or pgvector, prompt engineering, and evals.* A track record of taking AI ... You'll work on problems that matter, with direct access to decision-makers, and see theimpact of ...

Agentic AI Engineer Lead

Dallas, TX · On-site

$101K - $133K/yr

Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented ... Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior ...

... Pinecone, etc.) Familiarity with Azure cloud services and enterprise-grade deployments Hands-on experience with MCP and/or A2A agent communication frameworks Preferred Qualifications Direct ...

... ship direct-from-factory from manufacturing hubs like China to destinations worldwide. As an AI ... Familiarity with vector databases (Pinecone, Weaviate, pgvector, etc.) and semantic search patterns

Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone ... At least 3 years of professional experience building and deploying software systems, with direct ...

Showing results 41-60

Director Pinecone information

What is the difference between Director Pinecone vs Data Engineer?

AspectDirector PineconeData Engineer
Required CredentialsBachelor's or master's in CS, experience with Pinecone or similar vector databasesBachelor's in CS, experience with data pipelines, databases, and programming
Work EnvironmentLeadership role overseeing AI/ML projects involving PineconeTechnical role focused on building and maintaining data infrastructure
Employer & Industry UsageTech companies, AI startups using Pinecone for vector similarity searchVarious industries, including tech, finance, healthcare, working with data systems

The Director Pinecone typically leads AI projects utilizing Pinecone's vector database technology, focusing on strategy and team management. In contrast, a Data Engineer builds and maintains the data infrastructure, including working with Pinecone to optimize data storage and retrieval. Both roles require technical skills, but the Director Pinecone emphasizes leadership and project oversight, while the Data Engineer focuses on technical implementation.

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GenAI Engineer (LLM Applications & RAG Architecture) - Q3-2026

Alpharetta, GA • On-site

Full-time

Posted 29 days ago


Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: Most enterprises have proven that LLMs work in a demo-far fewer have gotten them into production. R2 Technologies is seeking a GenAI Engineer to close that gap. You will design and build LLM-powered applications on enterprise data: document ingestion and structured extraction pipelines, retrieval-augmented generation architectures, prompt and orchestration layers, and the backend services that expose them to business users. This role supports client engagements across financial services, healthcare, and retail, as well as our internal SmartEnt platform.
Key Responsibilities:
  • Design and develop production LLM applications, including chatbots, copilots, document intelligence, and summarization workflows.
  • Build end-to-end RAG pipelines covering document ingestion, chunking strategy, embedding generation, hybrid retrieval, and response grounding.
  • Develop and optimize prompt engineering workflows and LLM service orchestration layers across multiple model providers.
  • Integrate foundation models through Amazon Bedrock, Azure OpenAI, and direct LLM APIs, with routing logic for cost and latency optimization.
  • Build scalable Python backend services and REST APIs that expose GenAI capabilities to enterprise applications.
  • Evaluate model output quality through structured testing, hallucination detection, and response benchmarking against gold datasets.

Qualifications:
  • 3 years of experience in software engineering, AI/ML, or applied LLM development.
  • Advanced programming skills in Python, with additional experience in Node.js, Java, or TypeScript.
  • Hands-on expertise with Amazon Bedrock, Azure OpenAI, or direct integration with LLM APIs and model services.
  • Proven experience designing RAG architectures using vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Azure AI Search.
  • Strong knowledge of embeddings, prompt engineering, chunking strategies, and model evaluation techniques.
  • Experience building REST APIs and microservices, with working knowledge of SQL and NoSQL databases and cloud deployment on AWS, Azure, or GCP.

Skills:
NODE.JS,PYTHON,AZURE,JAVA,AI,DATABASES,NOSQL,SQL,TYPESCRIPT,AWS