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Pinecone Vector Databases Jobs in Florida (NOW HIRING)

Prophecy Technologies

AI ML Engineer

Sunrise, FL · On-site

Develop and optimize RAG pipelines using vector databases (FAISS, Pinecone, Chroma) * Deploy models via APIs, microservices, Docker, and cloud platforms (AWS / GCP / Azure) * Implement CI/CD ...

Virtusa

Architect (ATC)

Tampa, FL

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

Virtusa

Architect (ATC)

Tampa, FL

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

Virtusa

Architect (ATC)

Tampa, FL

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

Virtusa

Architect (ATC)

Tampa, FL · On-site

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

QTech US Inc

Gen AI Engineer

Miami Lakes, FL · On-site

Python Generative AI Large Language Models (LLMs) Prompt Engineering LangChain LangGraph Retrieval-Augmented Generation (RAG) OpenAI / Azure OpenAI Vector Databases (Pinecone, Weaviate, ChromaDB ...

Alpha Consulting Corp.

Gen AI Tech Lead

Tampa, FL · On-site

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Scalence L.L.C.

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Scalence L.L.C.

Gen AI Solution Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Alpha Consulting Corp.

Gen AI Solution Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. * Understanding of software engineering best practices including Git ...

Citigroup, Inc.

Gen AI Technology Lead

Tampa, FL · On-site

$113K - $170K/yr

Vector databases (PostgreSQL + pgvector, Pinecone, Weaviate, FAISS, etc.) * Advanced retrieval strategies (hybrid search, re-ranking, metadata filtering) * Experience with multi-agent systems ...

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Pinecone Vector Databases information

What is a Pinecone Vector Database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone Vector Database Engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone Vector Databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Florida? For Pinecone Vector Databases jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Pinecone Vector Databases jobs in Florida look for? The top searched job categories for Pinecone Vector Databases jobs in Florida are:
What cities in Florida are hiring for Pinecone Vector Databases jobs? Cities in Florida with the most Pinecone Vector Databases job openings:
Pinecone Vector Databases jobs near you

AI ML Engineer

Prophecy Technologies

Sunrise, FL • On-site

Full-time

Posted 29 days ago

Job description

Job Summary
The Senior AI/ML Engineer is responsible for designing, building, and deploying scalable, secure, and production-grade AI/ML and Generative AI solutions. The role focuses on LLM-based architectures, agentic workflows, RAG pipelines, and end-to-end model lifecycle management while ensuring performance, cost, latency, governance, and enterprise compliance.
Key Responsibilities
  • Design and implement AI/ML solutions from POC to production
  • Translate business requirements into scalable AI architectures
  • Own the full model lifecycle: training, deployment, monitoring, and retraining
  • Build and deploy LLM-based applications using LangChain, LangGraph, and agent-based workflows
  • Develop and optimize RAG pipelines using vector databases (FAISS, Pinecone, Chroma)
  • Deploy models via APIs, microservices, Docker, and cloud platforms (AWS / GCP / Azure)
  • Implement CI/CD pipelines for AI model deployment
  • Monitor model performance, drift, latency, and cost
  • Ensure scalability, reliability, and security of AI systems
  • Lead technical discussions and architecture reviews
  • Mentor junior AI/ML engineers and review code and designs
  • Collaborate with Product Owners, Architects, and Program Managers
  • Present technical solutions to business and customer stakeholders
  • Support proposal development and technical estimations
  • Ensure AI solutions comply with enterprise governance, security, and compliance standards

Required Skills & Experience
  • Strong proficiency in Python and AI/ML fundamentals
  • Hands-on experience with LLMs, LangChain, LangGraph, and agent-based workflows
  • Expertise in Prompt Engineering and Retrieval-Augmented Generation (RAG)
  • Experience with vector databases: FAISS, Pinecone, Chroma
  • Experience deploying models using APIs, microservices, and Docker
  • Hands-on experience with cloud platforms: AWS / GCP / Azure
  • Knowledge of model evaluation, fine-tuning, and performance optimization
  • Strong understanding of software engineering best practices and version control
  • Experience designing scalable, secure AI architectures with performance, cost, and latency optimization

Competencies
  • Generative AI & LLM Architecture
  • AI/ML Platform Engineering
  • Scalable System Design
  • Cloud-Native AI Solutions
  • Technical Leadership & Mentoring
  • Stakeholder Communication

Preferred Skills
  • Experience with enterprise AI governance frameworks
  • Exposure to MLOps tools and advanced monitoring platforms
  • Prior experience in proposal development and client-facing technical roles

Apply