Qdrant Developer
Alpharetta, GA · On-site
Qdrant Developer Duration: 12+ Months Interview Mode: Virtual We are seeking a skilled Qdrant Developer with hands-on experience in vector databases and AI-powered search applications. The ideal ...
Qdrant Developer
Alpharetta, GA · On-site
Qdrant Developer Duration: 12+ Months Interview Mode: Virtual We are seeking a skilled Qdrant Developer with hands-on experience in vector databases and AI-powered search applications. The ideal ...
Data Migration & AI Transformation Engineer - Q126
Alpharetta, GA · On-site
$111K - $134K/yr
Build and manage data embedding pipelines to vectorize historical enterprise data, loading it into Vector Databases (Pinecone, Qdrant) for AI consumption. * Implement modern open table formats ...
Data Migration & AI Transformation Engineer - Q126
Alpharetta, GA · On-site
$111K - $134K/yr
Build and manage data embedding pipelines to vectorize historical enterprise data, loading it into Vector Databases (Pinecone, Qdrant) for AI consumption. * Implement modern open table formats ...
Deploy, optimize, and tune Vector Databases (e.g., Pinecone, Qdrant, Milvus) and Graph Databases (e.g., Neo4j) to map complex semantic relationships and entity graphs. * Develop chunking, embedding ...
Deploy, optimize, and tune Vector Databases (e.g., Pinecone, Qdrant, Milvus) and Graph Databases (e.g., Neo4j) to map complex semantic relationships and entity graphs. * Develop chunking, embedding ...
Data Engineer (AI & Data Platforms) - Q126
Alpharetta, GA · On-site
$111K - $134K/yr
Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows. * Leverage AI-assisted coding tools to rapidly generate, test, and ...
Data Engineer (AI & Data Platforms) - Q126
Alpharetta, GA · On-site
$111K - $134K/yr
Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows. * Leverage AI-assisted coding tools to rapidly generate, test, and ...
Senior ML Engineer
Atlanta, GA · On-site
$100 - $160/hr
Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and retrieval‑augmented generation architectures. * Exposure to the healthcare domain and familiarity with medical ...
Senior ML Engineer
Atlanta, GA · On-site
$100 - $160/hr
Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and retrieval‑augmented generation architectures. * Exposure to the healthcare domain and familiarity with medical ...
Senior AI/ML Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Support integration with vector databases (e.g., Pinecone, pgvector, Qdrant) for semantic search across customer data Education and Work Experience * Bachelor's or Master's degree in Computer Science ...
Senior AI/ML Engineer
Atlanta, GA · On-site
$100K - $138K/yr
Support integration with vector databases (e.g., Pinecone, pgvector, Qdrant) for semantic search across customer data Education and Work Experience * Bachelor's or Master's degree in Computer Science ...
Senior ML Engineer
Atlanta, GA · On-site
$100K - $138K/yr
... Qdrant) and RAG architectures. • Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes, or regulatory documents. Company : Waystar is a technology ...
Senior ML Engineer
Atlanta, GA · On-site
$100K - $138K/yr
... Qdrant) and RAG architectures. • Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes, or regulatory documents. Company : Waystar is a technology ...
Deep expertise in RAG architecture: document processing, embedding models, chunking strategies, semantic search, vector databases (Pinecone, Weaviate, Chroma, pgvector, Qdrant). * Experience with ...
New
Deep expertise in RAG architecture: document processing, embedding models, chunking strategies, semantic search, vector databases (Pinecone, Weaviate, Chroma, pgvector, Qdrant). * Experience with ...
New
Qdrant information
What is the difference between Qdrant vs Data Scientist?
| Aspect | Qdrant | Data Scientist |
|---|---|---|
| Required Credentials | Technical certifications, knowledge of vector databases | Degree in Data Science, Statistics, or related field |
| Work Environment | Tech companies, startups, AI-focused firms | Research labs, tech companies, consulting firms |
| Industry Usage | AI, machine learning, data storage | Data analysis, predictive modeling, research |
Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.
What are popular job titles related to Qdrant jobs in Atlanta, GA?
For Qdrant jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Qdrant jobs in Atlanta, GA look for?
The top searched job categories for Qdrant jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Qdrant jobs?
Cities near Atlanta, GA with the most Qdrant job openings:
Other
Re-posted 19 hours ago
Job description
Position: Qdrant Developer
Duration: 12+ Months
Interview Mode: Virtual
Job Description
We are seeking a skilled Qdrant Developer with hands-on experience in vector databases and AI-powered search applications. The ideal candidate should have experience designing, implementing, and optimizing vector search solutions using Qdrant for Retrieval-Augmented Generation (RAG) and semantic search use cases.
Required Skills
- 3+ years of software development experience with Python.
- Hands-on experience with Qdrant Vector Database.
- Strong understanding of vector embeddings and semantic search.
- Experience with embedding models such as OpenAI, Sentence Transformers, or Hugging Face.
- Knowledge of RAG (Retrieval-Augmented Generation) architectures.
- Experience integrating Qdrant with LLM frameworks such as LangChain or LlamaIndex.
- Familiarity with REST APIs and microservices.
- Experience with Docker and Kubernetes is a plus.
- Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
- Strong problem-solving and debugging skills.
Responsibilities
- Design, develop, and maintain vector search solutions using Qdrant.
- Build and optimize semantic search and RAG pipelines.
- Create and manage vector collections, indexing, and embeddings.
- Integrate Qdrant with AI/ML applications and LLM frameworks.
- Optimize search performance, scalability, and data retrieval.
- Collaborate with AI engineers, data scientists, and application developers.
- Monitor, troubleshoot, and improve vector database performance.
Preferred Qualifications
- Experience with Generative AI and Large Language Models (LLMs).
- Knowledge of FastAPI or Flask.
- Experience with Git, CI/CD, and Agile development methodologies.
- Bachelor's degree in Computer Science, Engineering, or a related field.