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Qdrant Jobs in Georgia (NOW HIRING)

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 ...

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 ...

Familiarity with embeddings and vector search, and at least one vector database (e.g., pgvector, Pinecone, Chroma, Qdrant) * Familiarity with an LLM orchestration framework (e.g., LangChain ...

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 II

Atlanta, GA · On-site

$100K - $138K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Qdrant information

What is the difference between Qdrant vs Data Scientist?

AspectQdrantData Scientist
Required CredentialsTechnical certifications, knowledge of vector databasesDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI-focused firmsResearch labs, tech companies, consulting firms
Industry UsageAI, machine learning, data storageData 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 cities in Georgia are hiring for Qdrant jobs? Cities in Georgia with the most Qdrant job openings:
Infographic showing various Qdrant job openings in Georgia as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 5% Part Time, and 7% Contract. Highlights an 77% Physical, and 23% Remote job distribution.

Qdrant Developer

Cliff Services Inc

Alpharetta, GA • On-site

Other

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.