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 ...
Head of Marketing
San Francisco, CA · Remote
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Quick apply
Head of Marketing
San Francisco, CA · Remote
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Quick apply
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Quick apply
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Quick apply
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Quick apply
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Quick apply
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.
AI/ML Engineer
Plano, TX · On-site
$65 - $75/hr
Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.
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AI/ML Engineer
Plano, TX · On-site
$65 - $75/hr
Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant. * AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.
GenAI Engineer
Philadelphia, PA · On-site
Implement vector search architectures using Vertex AI Vector Search or vector databases such as Chroma, Milvus, Pinecone, Weaviate, or Qdrant. Optimize LLM performance using prompt engineering, few ...
New
GenAI Engineer
Philadelphia, PA · On-site
Implement vector search architectures using Vertex AI Vector Search or vector databases such as Chroma, Milvus, Pinecone, Weaviate, or Qdrant. Optimize LLM performance using prompt engineering, few ...
New
Software Developer / Engineer - Philadelphia, PA (Locals Only)
Philadelphia, PA · On-site
$80 - $150/hr
Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage embeddings while implementing metadata filtering strategies. * Support enterprise ...
New
Quick apply
Software Developer / Engineer - Philadelphia, PA (Locals Only)
Philadelphia, PA · On-site
$80 - $150/hr
Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage embeddings while implementing metadata filtering strategies. * Support enterprise ...
New
Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage embeddings while implementing metadata filtering strategies. * Support enterprise ...
Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage embeddings while implementing metadata filtering strategies. * Support enterprise ...
FAISS, Chroma, Pinecone, Qdrant * NLP (Good to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals
FAISS, Chroma, Pinecone, Qdrant * NLP (Good to Have): spaCy, NLTK, Sentence-Transformers * LLM Evaluation: TruLens, DeepEval, OpenAI Evals
... as Qdrant, Chroma, Milvus, or pgvector Proven implementation of Retrieval-Augmented Generation (RAG) pipelines Experience generating and managing embeddings and metadata filtering Security ...
... as Qdrant, Chroma, Milvus, or pgvector Proven implementation of Retrieval-Augmented Generation (RAG) pipelines Experience generating and managing embeddings and metadata filtering Security ...
AI Infrastructure Engineer
Chantilly, VA · On-site
$110K - $144K/yr
... Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.
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AI Infrastructure Engineer
Chantilly, VA · On-site
$110K - $144K/yr
... Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.
Software Developer/Engineer (LLM and Python)
Philadelphia, PA · On-site
$50.75 - $70/hr
Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector * Proven implementation of Retrieval-Augmented Generation (RAG) pipelines * Experience generating ...
Software Developer/Engineer (LLM and Python)
Philadelphia, PA · On-site
$50.75 - $70/hr
Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector * Proven implementation of Retrieval-Augmented Generation (RAG) pipelines * Experience generating ...
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.
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Posted 5 days 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.