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Vector Databases Jobs in Orlando, FL (NOW HIRING)

The Walt Disney Company

Data Engineer

Lake Buena Vista, FL · On-site

$101K - $136K/yr

Familiarity with vector databases and/or graph databases (e.g., Qdrant, Neo4j, or Amazon Neptune) * Experience building or maintaining data pipelines and integration processes to support semantic and ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting ...

Tror AI for everyone

AI Engineer

Lake Mary, FL · On-site

Vector database - pgvector * Hybrid search (keyword (BM25) + semantic) * Re-ranking and relevance tuning. * Agentic Frameworks and Orchestration. * Multi-agent coordination * Memory Management

The Walt Disney Company

Sr Software Engineer

Orlando, FL · On-site

$135K - $181K/yr

Experience with RAG (Retrieval Augmented Generation), vector databases, and embeddings * Excellent programming skills in languages Java and Python. * Experience with cloud platforms (AWS, GCP, or ...

Capco

AI Technical Architect

Orlando, FL · Hybrid

$61.75 - $74.75/hr

Familiarity with vector databases and unstructured data processing techniques * Experience implementing MLOps frameworks and production-grade AI systems * Exposure to containerized and distributed ...

Pwc

ERP AI Engineer - Manager

Orlando, FL · On-site

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Capco

Sr. AI Engineer

Orlando, FL · Hybrid

$97K - $134K/yr

Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems * Familiarity with MLOps/LLMOps tools and model lifecycle management * Experience contributing to full ...

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All JobsVector Databases JobsVector Databases Jobs in Orlando, FL

Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

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

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What are the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
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What cities near Orlando, FL are hiring for Vector Databases jobs? Cities near Orlando, FL with the most Vector Databases job openings:
Vector Databases jobs near you
Backend Python Developer - AI/ML

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Posted 13 days ago

Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIs, Azure, LLM APIs, AI agent frameworks, LangChain, AutoGen, Semantic Kernel, cloud services, vector databases, RAG workflows

job Description : 

Role: Backend Python Developer – AI/ML

Orlando preferable, Las Vegas possible (Onsite)

Required Skills & Experience:

  • 5+ years of experience as a Python backend developer
  • Solid hands-on experience with FastAPI, Flask, or Django REST frameworks
  • Strong knowledge of RESTful APIs, microservices, and asynchronous programming
  • Hands n Experience with Azure 
  • Experience integrating LLM APIs (OpenAI, HuggingFace Inference API, etc.) into real-world applications
  • Experience with AI agent frameworks such as LangChain, AutoGen, or Semantic Kernel
  • Proven ability to deploy containerized apps using Docker, including LLM inference services and agent-based tools
  • Familiarity with vector databases and RAG workflows
  • Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines